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10 merged results for "Smart Systems and Machine Learning"

Partial results: at least one source did not answer. Available results are shown rather than treating an upstream outage as zero matches.

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  1. A reliable and secure demand side control for an IoT-enabled smart power system using machine learning

    Vemulapalli Harika, Gudavalli Madhavi, Hanumantha Rao Battu, Rambabu Kasukurthi, Pradeep Jangir, John T Mesia Dhas · 2025 · Indonesian Journal of Electrical Engineering and Computer Science

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.11591/ijeecs.v37.i3.pp1428-1434

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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 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
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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
  2. A Survey on Smart Healthcare System Using Blockchainand Machine Learning

    Shubham Vibhute, Omkar Waghmode, Ajit Gavade, Krishna Ugale · 2024 · A Survey on Smart Healthcare System Using Blockchainand Machine Learning

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.10677817

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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
  3. plastic-waste-database/Rainfall-and-Kalumpang-Malaysia: Rainfall and Terrain Data

    machine learning · 2024

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.13235113

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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. plastic-waste-database/GDP_FDI_Dataset: GDP_FDI

    machine learning · 2024

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.13342593

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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. RGB and RGNIR Plastic Waste Database

    machine learning · 2024

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.13827422

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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 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
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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. Harnessing Artificial Intelligence: Exploring the Potential and Constraints of Machine Learning and Deep Learning for Smart Grid Stability Prediction

    Ibrahim, I. A., Abdurrhman I. A., Muhammad A. B · 2025 · Global Journal of Research in Engineering & Computer Sciences

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.15515685

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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 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
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    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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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
  7. Datasets used in "Winter Precipitation Type Diagnosis and Uncertainty Quantification with a Physically Consistent Machine Learning Method"

    Becker, Charles, Gagne II, David John · 2025

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.17676792

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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. Machine Learning-Based Energy Forecasting and Optimization in Smart Grids

    G. Shamili, D. Lakshmi · 2026

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.21451945

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    • 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
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    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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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. Sensor Position Comparison Dataset

    Arne Küderle, Nils Roth, Jovana Zlatanovic, Markus Zrenner · 2021

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.5747173

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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. IoT Based Smart Alert Network Security System Using Machine Learning

    Anas Habib Zuberi, Shish Ahmad · 2023 · International Journal of Innovative Research in Computer Science and Technology (IJIRCST)

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.55524/ijircst.2023.11.4.4

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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