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53 merged results for "Network Packet Processing and Optimization"

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  1. Trust Aware Secure Routing Model in MANET: Self-improved Particle Swarm Optimization for Optimal Route Selection

    S. Haridas, A. Rama Prasath · 2022

    uncertain Transparent signal score 51/100 · policy 1.0.0

    Found in hal · DOI 10.1007/978-3-031-11633-9_15

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  2. Novel FPGA-Based Signature Matching for Deep Packet Inspection

    Nitesh B. Guinde, Sotirios G. Ziavras · 2010

    uncertain Transparent signal score 51/100 · policy 1.0.0

    Found in hal · DOI 10.1007/978-3-642-12368-9_21

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  3. A novel IoT-aware wearable sensor device for healthcare data management framework using hybrid optimization algorithm.

    B G, P P · 2026 · Physical and engineering sciences in medicine

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1007/s13246-026-01772-w

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  4. Adaptive utility-aware event-triggered reinforcement learning for hybrid attack scheduling against remote state estimation.

    An J, Zhang H · 2026 · ISA transactions

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.isatra.2026.06.055

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  5. Secure and load balanced routing model for wireless sensor networks

    Gousia Thahniyath, M. Jayaprasad · 2022 · Journal of King Saud University: Computer and Information Sciences

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.1016/j.jksuci.2020.10.012

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  6. Hybrid Ultrasonic Framework for CFRP-Steel Interfacial Defect Classification via Wavelet Packet Transform and Backpropagation ANN.

    Huang Z, Chen Z, Tan S · 2026 · Ultrasonics

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.ultras.2026.108192

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  7. Reinforcement learning enabled hybrid optimisation for energy-efficient multipath routing in wireless sensor networks.

    Nareshkumar R, Selvam P, Kaliyaperumal K, A H · 2026 · Scientific reports

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1038/s41598-026-58774-7

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  8. Hybrid African vulture and Aquila optimizer based efficient clustering approach for enhancing network longevity in wireless sensor networks.

    Mathankumar M, Thirumoorthi P, Janakiraman S, Rajkanna U. · 2026 · Sci Rep

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in europe-pmc · DOI 10.1038/s41598-026-62382-w

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  9. Fuzzy based hybrid BAT and firefly algorithm for optimal path selection and security in wireless sensor network

    P. Dinesh Kumar, K. Valarmathi · 2023 · Automatika

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.1080/00051144.2022.2119502

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  10. Developing a binary communication protocol between biological neural networks using virtual white matter.

    Khantan M, Lim J, Bernhardt A, Napoli A · 2026 · Journal of neural engineering

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1088/1741-2552/ae840f

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  11. An effective transmit packet coding with trust-based relay nodes in VANETs

    Omar A. Hammood, Mohd Nizam Mohmad Kahar, Waleed A. Hammood, Raed A Hasan · 2020 · Bulletin of Electrical Engineering and Informatics

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.11591/eei.v9i2.1653

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  12. Optimized reduction approach of congestion in mobile ad hoc network based on Lagrange multiplier

    Marwa K. Farhan, Muayad S. Croock · 2022 · International Journal of Electrical and Computer Engineering (IJECE)

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.11591/ijece.v12i6.pp6341-6349

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    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  13. Reconfigurable High Performance Secured NoC Design Using Hierarchical Agent-based Monitoring System

    S, Kendaganna Swamy, Jatti, Anand, V, Uma B. · 2018 · International Journal of Electrical and Computer Engineering (IJECE)

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.11591/ijece.v8i6.pp4164-4174

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  14. Energy aware clustering and routing for wireless sensor networks using metaheuristics optimization algorithms

    Mekala, Sagar, Karinagappa, Nagaraju, Dholvan, Mohan · 2026 · International Journal of Informatics and Communication Technology (IJ-ICT)

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.11591/ijict.v15i4.pp1736-1745

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    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  15. Parallel AI-driven framework for post-quantum secure medical image communication using swin-transformer restoration.

    Alsuwat E · 2026 · BioData mining

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1186/s13040-026-00567-9

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    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  16. Probabilistic cooperative coded forwarding for broadcast transmissions in industrial mobile edge communications

    Wenjun Huang, Xu Li, Yanan Liang · 2022 · EURASIP Journal on Wireless Communications and Networking

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.1186/s13638-022-02132-4

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    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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    • supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  17. Optimization of PWSN transmission performance on coal mining face

    FANG Zuhao, ZHAO Xiaohu, WANG Haibo, WANG Jingjing · 2020 · Gong-kuang zidonghua

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.13272/j.issn.1671-251x.17515

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    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  18. OPTIMAL ROUTE DEFINITION IN THE RAILWAY INFORMATION NETWORK USING NEURAL-FUZZY MODELS

    V. M. Pakhomova, Y. S. Mandybura · 2019 · Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.15802/stp2019/184385

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    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  19. ENHANCED LION SWARM OPTIMIZATION ALGORITHM WITH CENTRALIZED AUTHENTICATION APPROACH FOR SECURED DATA TRANSMISSION OVER WSN

    S Silambarasan, M Savitha Devi · 2021 · ICTACT Journal on Communication Technology

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.21917/ijct.2021.0365

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    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  20. Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm

    Sujan Kumar Mohanty, Sujan Kumar Mohanty, Satyajit Rath, Satyajit Rath · 2026 · Frontiers in Big Data

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.3389/fdata.2026.1821270

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    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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    • supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  21. Advanced security framework for 5G-SDN attack detection and mitigation using Affinity Cohesive Clustering and Improved Chaotic Walrus-Optimized Convolutional LSTM with Deep Dual Info-Varcoder.

    R S, Rajkumar S. · 2026 · Front Artif Intell

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in europe-pmc · DOI 10.3389/frai.2026.1832131

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    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  22. Design of a Heterogeneous-Based Network Intrusion Detection System and Compiler

    Zhigui Lin, Xiaofeng Zhang, Qi Liu, Jun Cui · 2025 · Applied Sciences

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.3390/app15095012

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    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  23. Performance Evaluation of UDP-Based Data Transmission with Acknowledgment for Various Network Topologies in IoT Environments

    Bekele, Bereket Endale, Tokarz, Krzysztof, Gebeyehu, Nebiyat, Pochopień, Bolesław · 2024 · Electronics

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.3390/electronics13183697

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    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  24. Distributed Model Predictive Load Frequency Control for Virtual Power Plants with Novel Event-Based Low-Delay Technique Under Cloud-Edge-Terminal Framework

    Kai Kang, Nian Shi, Si Cai, Liang Zhang · 2025 · Energies

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.3390/en18061380

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  25. Research on Hyperspectral Modeling of Total Iron Content in Soil Applying LSSVR and CNN Based on Shannon Entropy Wavelet Packet Transform

    Weichao Liu, Hongyuan Huo, Ping Zhou, Mingyue Li · 2023 · Remote Sensing

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.3390/rs15194681

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  26. A Hierarchical Sensor Data Fusion and Roving Sensor Network Framework for Structural Health Monitoring: Application to Bridge Retrofitting.

    Dar E, Tufan T, Akalp S, Yardımcı F · 2026 · Sensors (Basel, Switzerland)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.3390/s26113597

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  27. A Sensor-Aware Multi-Agent Reinforcement Learning Framework for Joint Data Offloading and Power Control in Edge-Assisted Wireless Sensor Networks.

    Zhang P, Wang R, Sun Y, Yuan Y · 2026 · Sensors (Basel, Switzerland)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.3390/s26123802

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  28. Adaptive MARL-Assisted Hybrid Bat-Artificial Bee Colony Optimization for Energy-Efficient Clustering and Routing in IoT-Enabled Wireless Sensor Networks.

    Mohammed HS, Pirozmand P, Memon S, Ghatrehsamani S · 2026 · Sensors (Basel)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in europe-pmc · DOI 10.3390/s26154996

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  29. Reliable Transmission Optimization for UAV-Relayed Space-Air-Ground Integrated Vehicular Networks.

    Zong L, Cheng Y, Yao Y. · 2026 · Sensors (Basel)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in europe-pmc · DOI 10.3390/s26165279

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  30. A Priority-Aware Multi-Agent Reinforcement Learning Framework for Collaborative Intelligent Sensing in Social IoT.

    Zhu J. · 2026 · Sensors (Basel)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in europe-pmc · DOI 10.3390/s26165298

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  31. Significance-Aware Federated Reinforcement Learning for AoI Optimization of Vehicular Sensing in UAV-Assisted Edge Networks.

    Wang X, Bai S, Zhang Y, Gursoy MC · 2026 · Sensors (Basel, Switzerland)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed, europe-pmc · DOI 10.3390/s26185783

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  32. TrajGNN-RL: Adaptive Mobile Sink Intelligence for Lifetime-Aware Wireless Sensor Networks.

    Aravind AR, Alias MYB, Deepak A. · 2026 · Sensors (Basel)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in europe-pmc · DOI 10.3390/s26206444

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  33. FlowerSec: An AI-Enhanced Security Framework for Clustered Wireless Sensor Networks.

    Alhomoud A, Alharbi AR, Altorkmani NA. · 2026 · Sensors (Basel)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in europe-pmc · DOI 10.3390/s26206530

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  34. Threshold-Aware Link-Graph Compression with Per-Sensor Observed-Packet Coverage Constraints and Temporal Robustness in Urban LoRaWAN Networks.

    Osadchyi V, Bondarchuk A, Bondarenko O, Pyroh M · 2026 · Sensors (Basel)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in europe-pmc · DOI 10.3390/s26206562

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  35. An Entropic Value-at-Risk-Inspired Load-Balancing Routing Algorithm for LEO Satellite Networks.

    Wang S, Guo H, Deng W · 2026 · Sensors (Basel, Switzerland)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.3390/s26206627

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  36. AN ACCURATE IDENTIFICATION OF PACKET DROPPING ATTACKS USING CAT SWARM OPTIMIZATION (CSO) TO ENSURE BETTER INTRUSION DETECTION IN MANET ENVIRONMENT

    Niyaz Hussain A M J, G Maria Priscilla · 2020 · International Journal of Innovative Technology and Exploring Engineering (IJITEE)

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.35940/ijitee.a4813.1091220

    Show all credibility signals
    • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
    • not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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  37. Analysis of Processes Affecting Sensor Network Performance

    S. V. Govorova · 2026 · Современная наука и инновации

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.37493/2307-910x.2026.1.1

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  38. Event Based Clustering Localized Energy Efficient Ant Colony Optimization for Performance Enhancement of Wireless Sensor Network

    Chavan, Shankar D., Kulkarni, Anju V. · 2018 · Engineering, Technology & Applied Science Research

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.1450651

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  39. Advances in Energy-Efficient Traffic Management for Wireless Sensor Networks

    Shailaja S. Halli, Dr. Poornima G. Patil · 2026

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.19812857

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  40. Enhancing Network Security and Performance Using Optimized ACLS

    Tomar, Kuldeep · 2026

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.22674665

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  41. STARLI | F091–F100 / 300 Flagship 13 Fission · Volume I · Collective Microrobotic Autonomy, Swarm Safety and Mission Continuity Author: 33 | Nonclinical Research Design Working Edition v1.3 | English Zenodo Ten-Volume Overview This ten-volume collection closes the first hundred of the STARLI 300-theme research-design atlas. Research Unit I (F091–F095) examines autonomous sampling, local-to-global coordination, pheromone-like signaling, collision avoidance and collective energy allocation. Research Unit II (F096–F100) examines distributed planning, localization uncertainty, changing network topology, fault isolation and safe mission handoff. Each volume states prospective physical tests rather than completed experimental findings. The ten English working editions total 7,770 PDF pages: 300 candidate mathematical plates, 820 chapter openings, 4,100 independently paginated investigations, 2,000 Research Gates and 330 Phoenix Answer Embryos. The v1.3 Gate-annotation pass contrasts mechanisms, physical witnesses, blinded falsifiers, rivals, stopping boundaries and successor interfaces. These editorial counts and text-screening results do not establish causal independence or scientific validation. The Ten Research Directions F091 Nanorobotic Collective Autonomy Sampling At The Limit — Proposes controlled tests of swarm sampling throughput and identity preservation. A concealed communication partition probes whether completion gains survive the loss of collective coordination, against a centralized full-state controller; collision events and consensus error remain explicit vetoes. F092 Microrobotic Local Collaboration And Global Mission At The Limit — Asks whether agent-to-agent collaboration improves global agreement when robots lack an unmetered global-state feed. Hidden adversarial-neighbor states test dependence on outside tracking; fixed behavior rules with matched energy provide the comparator. F093 Nanorobotic Collective Pheromone Communication At The Limit — Explores prospective chemical-trail or signal-mediated coordination with collision exposure as a primary outcome. Hidden actuator saturation and a matched-actuation single-agent baseline challenge claims that signaling, rather than redundancy or imposed motion, caused the improvement. F094 Microscale Robot Collective Collision Avoidance Control At The Limit — Examines collision-safe motion while monitoring spatial coverage, recovery time and communication burden. A blinded shared-localization bias tests whether apparent avoidance depends on erroneous common position estimates; safety-boundary crossings trigger rejection. F095 Nanorobotic Collective Energy Allocation At The Limit — Tests dynamic allocation of limited energy across agents during dropout and recovery. Hidden agent-loss clusters challenge energy accounting and recovery-time claims against fixed rules with an equal energy budget; persistent unsafe confidence is a stop condition. F096 Microrobotic Distributed Mission Planning At The Limit — Studies task planning without a central controller using communication load, work-per-task and selective abstention as prospective metrics. Hidden network partitions expose plans that depend on unavailable messages, while a matched-actuation single-agent system tests whether coordination adds value. F097 Nanorobotic Collective Localization Uncertainty At The Limit — Tests whether robots can act safely when position confidence is uncertain or neighbors provide deceptive state information. Energy per accepted task, abstention and completion are checked against a full-state centralized benchmark; unrecognized safety-boundary crossings invalidate the claim. F098 Microrobotic Collective Dynamic Topology Control At The Limit — Examines when changing neighbor connections should trigger reconfiguration or justified refusal to proceed. Hidden actuator saturation challenges topology decisions; fixed energy-matched rules and independent task and consensus measurements distinguish adaptive control from misleading internal agreement. F099 Nanorobotic Collective Fault Isolation At The Limit — Investigates recognition and containment of malfunctioning agents without allowing errors to propagate across the swarm. A blinded shared-localization bias tests whether fault labels confuse a common sensor defect with separate robot failures; recovery to a known-safe state is mandatory. F100 Microrobotic Collective Mission Handoff At The Limit — Designs a traceable transfer of task state and authority across agents after concealed dropout clusters. The study checks consensus error, collisions and coverage against centralized full-state control; an apparently successful handoff is rejected if safety invariants are violated. Scope, Falsifiability and Evidence Boundaries All ten volumes are prospective, nonclinical research-design working editions for traceable materials, authorized ex-vivo systems, synthetic phantoms and bench-scale microfluidic tests. Proposed comparisons require preregistered budgets, blinded perturbations, independent reference measurements, complete negative-trial denominators and explicit safety stops. No new experimental results, validated in-body autonomy or clinical benefit are claimed. Mathematical derivations, physical unit consistency, claim-level DOI linkage and substantive causal novelty still require specialist review; the automatic Gate-text distinctness audit cannot replace it. Selected Established Methodological References Yang & Zhang (2021) · Motion Control in Magnetic Microrobotics: From Individual and Multiple Robots to Swarms · DOI 10.1146/annurev-control-032720-104318 | Farivarnejad & Berman (2022) · Multirobot Control Strategies for Collective Transport · DOI 10.1146/annurev-control-042920-095844 | STARLI Flagship 13 mother-method ancestry · DOI 10.5281/zenodo.23318840 These identifiers and methodological descriptions come from the supplied source-archive evidence register. They are reference points for existing methods, not evidence that any STARLI-specific candidate device or proposed experimental advantage has been demonstrated. Independent source-to-claim verification remains necessary. Join the STARLI Research Community Explore more than 100 interdisciplinary research themes and follow the evolving STARLI Research Gate community: https://zenodo.org/communities/starli-research-gate/ We do not need to know which door future generations will choose to open. We only hope that when they open it, they will find a little light to guide their way.

    33 · 2026

    limited evidence Transparent signal score 47/100 · policy 1.0.0

    Found in datacite, datacite · DOI 10.5281/zenodo.23915848

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  42. RESEARCH COLLECTION / FLAGSHIPS 231–240 OF 300 Optical Reliability, Causal Metrology & Bounded Autonomous Micro/Nano-Systems at the Limit Flagship 13 Fission | Volume III | Author 33 | Research Design Working Edition v0.7 (Three-Prose Working Draft) This ten-volume collection develops falsifiable research designs for optical microrobot fatigue, encapsulation reliability, photon transport loss, optical–magnetic control, material biofouling, photonic-chip thermal management, cross-instrument consistency, nanomaterial qualification, multiphysics coordination and evidence-bounded autonomous experimentation. It does not claim an experimentally established advantage. The ten English research-design manuscripts contain 7,770 pages, 300 model plates, 820 chapter openings, 4,100 independently paginated study designs, 2,000 Research Gates and 330 Phoenix Answer Embryos. Each Gate has a separately defined physical mechanism and concealed intervention; cross-volume scientific distinctness remains subject to expert review. Counts describe editorial coverage, not scientific proof. Research Unit I · F231–F235 F231 OPTICAL MICROROBOTIC MATERIALS FATIGUE AT THE LIMIT — Probes cyclic microbeam and coating fatigue through independent deflection, fracture and thermal witnesses. Concealed ageing challenges fixture relaxation and survivor selection; whole-cohort failure counts govern durability. F232 NANO-QUANTUM OPTICAL ENCAPSULATION RELIABILITY AT THE LIMIT — Tests water, ion and seam leakage, pinholes, seal swelling and reference drift through masked humidity and tracer studies. Edge diffusion, adhesive failure and photothermal limits remain live disqualifiers. F233 MICROSCALE PHOTON TRANSPORT LOSS AT THE LIMIT — Separates waveguide propagation loss from coupling, absorption, scattering and detector offsets. Length-resolved cutback and calorimetry establish a physical photon budget; high detected power alone is not proof of low loss. F234 NANO-OPTICAL AND MAGNETIC ACTUATION HYBRID CONTROL AT THE LIMIT — Challenges optical–magnetic actuation using field reversal, independently measured force and pose, synchronized timing faults and thermal budgets. The matched optical-only and magnetic-only controllers are real alternatives. F235 QUANTUM-MATERIAL BIOFOULING TOLERANCE AT THE LIMIT — Examines protein corona, non-specific adsorption, lipid deposition and regeneration-cycle damage. Independent mass, chemical, optical and hydraulic witnesses distinguish surface fouling from bulk-index drift and sample contamination.   SECOND RESEARCH UNIT / TRANSFER, SAFETY & SUCCESSION Research Unit II · F236–F240 F236 MICROSCALE PHOTONIC CHIP THERMAL MANAGEMENT AT THE LIMIT — Investigates chip hot spots, interfacial resistance, pulse heating and shutdown latency. Independent thermometry and energy closure test cooling against passive heat sinking; temperature vetoes cannot be traded for optical output. F237 NANO-OPTICAL SENSOR CROSS-INSTRUMENT CONSISTENCY AT THE LIMIT — Tests calibration transfer across instruments with independently certified wavelength and power standards, masked instrument swaps and held-out laboratories. Vendor fitting and common-reference drift are direct rival explanations. F238 QUANTUM NANOMATERIALS FUNCTIONAL QUALIFICATION AT THE LIMIT — Builds functional nanomaterial qualification from independent structural, chemical and optical evidence across complete manufacturing lots. Hidden lot swaps probe selection bias; failed specimens remain in the denominator. F239 PHOTONIC MICROROBOTIC MULTIPHYSICS COORDINATION AT THE LIMIT — Resolves optical, magnetic, fluid and thermal coupling in physical microrobot control. Separate field, force, position and heat measurements test synchronization faults and safe retrieval under conservation limits. F240 NANO-QUANTUM PHOTONIC AUTONOMOUS EXPERIMENTAL PLATFORM AT THE LIMIT — Proposes an evidence-bounded autonomous photonic laboratory with frozen action logs, hidden instrument faults, abstention and independent successor replay. Confidence scores cannot replace physical reference or permission integrity. Scientific Scope, Comparators & Evidence Limits All proposals are nonclinical bench research on traceable materials, sealed microfluidic modules and authorized reference standards. Independent physical witnesses, unselected denominators, matched resource budgets, concealed faults and hard stopping conditions are mandatory. These manuscripts offer designs, not performed experiments, clinical demonstrations or proven quantum advantage. Mother scientific ancestry: Flagship 13 version DOI 10.5281/zenodo.23318840, all-versions DOI 10.5281/zenodo.23318839. Contextual DOI anchors mentioned in the collection include 10.1002/adpr.202500103 (optical propagation), 10.1039/D2LC00573E (optical/magnetic micro-robotics), 10.1002/admt.202401848 (packaging) and 10.1038/s41570-026-00847-2 (self-driving labs). Independent bibliographic verification and source-to-claim suitability are pending. Three-Prose Gate Evolution & QA Boundary Each of the 2,000 Research Gates now presents three independent scientific prose passages: Origin, Extreme Extrapolation, and Future Research Plan (approximately 100 English words each). The essays distinguish mechanism-specific predictions, orthogonal measurements, blind interventions, rival explanations, hard stops, and the next falsifiable successor experiment. This is a research-design evolution, not empirical validation; remaining semantic similarities and DOI matches require independent specialist review. Join the STARLI Research Community Explore more than 100 interdisciplinary research themes and follow the evolving STARLI Research Gate community: https://zenodo.org/communities/starli-research-gate/ We do not need to know which door future generations will choose to open. We only hope that when they open it, they will find a little light to guide their way. 🌈🚪✨

    33 · 2026

    limited evidence Transparent signal score 47/100 · policy 1.0.0

    Found in datacite, datacite, datacite · DOI 10.5281/zenodo.23931270

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  43. STARLI / TEN FLAGSHIP RESEARCH CONSTELLATION YULI · NANO × QUANTUM × REGENERATION × AI × BCI F001–F005 / 200 | Neural Nanomaterials | 777-page research working editions F001 Intelligent Nanomaterials for Neural Interfaces at the Limit Research identity: Charge-transfer integrity in compliant nanointerfaces. Endpoint: interfacial impedance [ohm]. Concealed discriminator: saline reference exchange. Conventional rival: standard platinum microelectrode matched for exposed area and recording bandwidth. F002 Programmable Neural Nanocomposites at the Limit Research identity: Programmability versus material heterogeneity. Endpoint: effective composite modulus [Pa]. Concealed discriminator: masked alignment reversal. Conventional rival: composition-matched nonprogrammable nanocomposite and classical Voigt/Reuss bounds. F003 Adaptive Conductive Nanonetworks for Neural Systems at the Limit Research identity: Adaptive conduction without hidden compensation. Endpoint: network conductance [S]. Concealed discriminator: pulse-duration scrambling. Conventional rival: fixed-resistance mesh and conventional redundant electrode network. F004 Ultraflexible Nanoelectrodes for BCI at the Limit Research identity: Flexibility must preserve electrical identity. Endpoint: fracture strain [1]. Concealed discriminator: unfamiliar soft phantom stiffness. Conventional rival: commercial flexible polymer electrode matched for electrical area and bending history. F005 Neural Tissue-Compatible Nanosurface Engineering at the Limit Research identity: Biological compatibility is not surface appearance. Endpoint: viable-cell fraction [%]. Concealed discriminator: wettability-matched control. Conventional rival: polished inert control and surface-chemistry-matched conventional coating. THE THREE-LETTER RESEARCH GATE PROTOCOL Each book proposes 30 distinct model functions, 82 chapters / 410 investigations, 200 independent test-entry contracts and 33 Phoenix study artifacts. Its Gates are letters to future researchers: Origin, Extreme Extrapolation and Future Research Plan. Literary possibility never substitutes for direct measurement. Evidence boundary: the YULI two-hundred-theme Word fixes each topic. STARLI F02 (DOI: 10.5281/zenodo.23486020) provides analogical engineering methods, not neurological efficacy evidence. External peer-reviewed materials and neural-interface methods remain separate sources.   STARLI / TEN FLAGSHIP RESEARCH CONSTELLATION YULI · NANO × QUANTUM × REGENERATION × AI × BCI F006–F010 / 200 | Neural Nanomaterials | 777-page research working editions F006 Low-Inflammation Neural Nanointerfaces at the Limit Research identity: Low inflammation requires direct cellular evidence. Endpoint: inflammatory cytokine change [pg/mL]. Concealed discriminator: low-dose thermal staircase. Conventional rival: inert surface and commercially established low-reactivity reference under equal culture conditions. F007 Self-Healing Neural Nanoconductors at the Limit Research identity: Repaired conductance is not restored safety. Endpoint: conductance recovery [%]. Concealed discriminator: thermal stress after restoration. Conventional rival: qualified redundant conductor and conventional replaceable electrode trace. F008 Signal-Selective Neural Nanomaterials at the Limit Research identity: Signal selectivity must survive irrelevant sources. Endpoint: target-to-offtarget amplitude ratio [dB]. Concealed discriminator: independent signal generator. Conventional rival: matched passive electrode with conventional analogue/digital bandpass filtering. F009 Long-Term Stable Neural Nanoimplant Materials at the Limit Research identity: Long-term stability must be witnessed over time. Endpoint: time-to-impedance-failure [day]. Concealed discriminator: late-cycle blind inspection. Conventional rival: conventional chronic-interface material with same ageing dose and endpoint thresholds. F010 Biodegradable Neural Interface Nanomaterials at the Limit Research identity: Biodegradability cannot conceal a lost function. Endpoint: dry-mass retention [%]. Concealed discriminator: second-lot monomer source. Conventional rival: stable reference interface and biodegradable polymer of established composition. SOURCE AND QUALITY CHARTER The 10 books are prospective nonclinical design working editions. Their original conjectures require independent experiments; unknown DOI identities, quantitative causal independence and professional mathematical review must not be reported as passed. Each volume preserves strong conventional baselines, blinded perturbations and hard-stop conditions. External reference examples: Tang et al., Nature Electronics (2023), DOI 10.1038/s41928-022-00913-9; Liu et al., Microsystems & Nanoengineering (2023), DOI 10.1038/s41378-022-00479-8; Shen et al., Nature Biomedical Engineering (2023), DOI 10.1038/s41551-023-01021-5. Join the STARLI Research Community · https://zenodo.org/communities/starli-research-gate/ We do not need to know which door future generations will choose to open. We only hope that when they open it, they will find a little light to guide their way. 🌈🚪✨

    33 · 2026

    limited evidence Transparent signal score 47/100 · policy 1.0.0

    Found in datacite, datacite · DOI 10.5281/zenodo.23965398

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  44. STARLI / TEN-FLAGSHIP RESEARCH CONSTELLATION YULI · NANO × QUANTUM × REGENERATION × AI × BCI F031–F035 / 200 | Family 04: Neural Bioelectricity & Nanosensing F031 Nanoscale Neural Bioelectric Sensing at the Limit Mechanism: double-layer admittance near a nanoscale contact. Primary: voltage transduction gain [volt per volt]. Hidden test: sealed common-mode voltage injection. Rival: apparent gain caused by amplifier scaling and contact geometry. F032 Multichannel Neural Nanoelectrode Arrays at the Limit Mechanism: capacitive cross-coupling between adjacent traces. Primary: cross-channel voltage ratio [decibel]. Hidden test: concealed electrode-bank shutdown. Rival: shared reference or unmeasured field spread explains reported crosstalk. F033 Nanoscale Local Field Potential Measurement at the Limit Mechanism: dipole depth dependent attenuation. Primary: field-potential signed error [microvolt]. Hidden test: hidden source-dipole depth. Rival: mis-specified volume conduction reproduces an apparent nanometer advantage. F034 Synaptic Electrochemical Nanosensing at the Limit Mechanism: Faradaic oxidation peak selectivity. Primary: analytical limit of detection [mole per liter]. Hidden test: blinded dopamine-ascorbate admixture. Rival: electrode fouling or interfering species mimics neurotransmitter sensitivity. F035 Drift Compensation in Neural Nanosensors at the Limit Mechanism: temperature dependent electrode offset. Primary: held-out voltage residual [microvolt]. Hidden test: concealed temperature step. Rival: compensation subtracts true low-frequency physiology rather than sensor drift. THE FALSIFIABLE MEASUREMENT CONTRACT Ten 777-page prospective design books each contain 30 math plates, 82 chapters, 410 one-page studies, 200 Gates with three independent future letters, and 33 Phoenix. Physical source, calibration history, electrode chemistry, drift, timing and information metrics remain distinct observations. Bench evidence is never clinical or neural repair proof.   STARLI / TEN-FLAGSHIP RESEARCH CONSTELLATION YULI · NANO × QUANTUM × REGENERATION × AI × BCI F036–F040 / 200 | Family 04: Neural Bioelectricity & Nanosensing F036 Synchronous Neural Electrical and Chemical Sensing at the Limit Mechanism: chemical sensor transport delay. Primary: registered timing offset [millisecond]. Hidden test: masked clock-offset perturbation. Rival: filter phase response is mistaken for biological electrical-chemical synchrony. F037 Low-Power Implantable Neural Nanosensing at the Limit Mechanism: amplifier bias current leakage. Primary: energy per valid information bit [nanojoule per bit]. Hidden test: hidden packet retransmission rate. Rival: spurious savings from reduced sample rate, lost bits or hidden retransmissions. F038 Cross-Scale Calibration of Neural Nanosensors at the Limit Mechanism: electrode aperture footprint convolution. Primary: cross-scale relative signed bias [percent]. Hidden test: concealed nanoprobe spacing change. Rival: spatial averaging and probe placement explain apparent cross-scale bias reduction. F039 Signal-to-Noise and Information Limits in Neural Sensing Mechanism: input-referred amplifier noise spectrum. Primary: out-of-sample information rate [bit per second]. Hidden test: blind task-label swap. Rival: fixed stimulus rhythms or label leakage masquerade as recoverable information. F040 Traceable Neural Nanometrology at the Limit Mechanism: reference source drift across calibration cycles. Primary: combined standard uncertainty [microvolt]. Hidden test: blind independent voltage reference. Rival: shared systematic calibration error makes independent instruments agree falsely. EVIDENCE, DOIs & SCIENTIFIC LIMITS Methods: Liu et al. (2023), DOI 10.1038/s41378-022-00479-8; Tang et al. (2023), DOI 10.1038/s41928-022-00913-9; JCGM 100:2008(E), DOI 10.59161/JCGM100-2008E. The supplied F02 (10.5281/zenodo.23486020) is a methodology source, not performance evidence. Full expert and gate-causality reviews remain open. Join the STARLI Research Community · https://zenodo.org/communities/starli-research-gate/ We do not need to know which door future generations will choose to open. We only hope that when they open it, they will find a little light to guide their way. 🌈🚪✨

    33 · 2026

    limited evidence Transparent signal score 47/100 · policy 1.0.0

    Found in datacite, datacite, datacite · DOI 10.5281/zenodo.23966209

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  45. Deterministic network design and optimization to support low-latency communications in 6G

    Sofiane Messaoudi · 2025

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in hal · DOI 10.70675/05592276z73c2z41b3z9ebbz48f87ede8762

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  46. Data Collection and Transmission in the Internet of Things

    Gérard Kponhinto · 2024

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in hal · DOI 10.70675/1b0e76ceze2dbz4d45zb282z6544e508f2ea

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  47. Analyse et optimisation d'une nouvelle architecture de réseau optique futuriste

    Amira Kamli · 2019

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in hal · DOI 10.70675/2e818f39z6bb5z43bdz91f5zb2d33f223ff3

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  48. A Human–Machine Interaction–Experience–Learning Algorithm for Integrated Lateral–Longitudinal Decision-Making and Control in Intelligent Connected Vehicles

    Shen W, Yan C, Wang Z, Huang Z · 2026 · Sensors (Basel)

    uncertain Transparent signal score 50/100 · policy 1.0.0

    Found in europe-pmc · no DOI

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  49. A model-based prediction approach for the stabilization of network controlled systems with strong communication limitations

    Luca Greco, Antoine Chaillet, Antonio Bicchi · 2012

    limited evidence Transparent signal score 48/100 · policy 1.0.0

    Found in hal · no DOI

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  50. Efficient Packet Processing in User-Level Operating Systems: A Study of UML

    Younggyun Koh, Calton Pu, Sapan Bhatia, Charles Consel · 2006

    uncertain Transparent signal score 50/100 · policy 1.0.0

    Found in hal · no DOI

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  51. Energy-Aware Routing in Sensor Networks: A Large Systems Approach

    Longbi Lin, Ness B. Shroff, R. Srikant · 2006

    uncertain Transparent signal score 50/100 · policy 1.0.0

    Found in hal · no DOI

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  52. Energy Efficient in-Sensor Data Cleaning for Mining Frequent Itemsets

    Jacques Bahi, Abdallah Makhoul, Maguy Medlej · 2012 · Sensors & Transducers.

    uncertain Transparent signal score 54/100 · policy 1.0.0

    Found in hal · no DOI

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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  53. Optimizing the channel and delay selection in optical switching by means of Markov Decision Processes

    Wouter Rogiest · 2010

    limited evidence Transparent signal score 48/100 · policy 1.0.0

    Found in hal · no DOI

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer