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10 merged results for "Journal for Manufacturing Science and Production"

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. Design for circular disassembly: Evaluating the impacts of product end-of-life status on circularity through the parent-action-child model

    Formentini, G., Ramanujan, D. · 2023

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.1016/j.jclepro.2023.137009

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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. Examining the Role and Future Potential of Design for Disassembly Methods to Support Circular Product Design

    Formentini, Giovanni, Ramanujan, Devarajan · 2023

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.1017/pds.2023.174

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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. Closed-Loop Manufacturing with AI-Enabled Digital Twin Systems

    Besigomwe, Kenneth · 2025 · Cognizance Journal of Multidisciplinary Studies

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.18165869

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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. Materials Science, Nano Technology and Advanced Manufacturing

    P. Gowthaman, A Thanikasalam, Arul Kulandaivel · 2026

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.18663319

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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. A Study of Machine Learning–Driven Frameworks for Intelligent and Explainable Manufacturing Systems: A Theoretical Exploration

    Suraj Shrestha · 2026 · International Journal of Computer Science and Information Technology Research

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.18922468

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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
  6. A Review of Related Work on Machine Learning in Semiconductor Manufacturing and Assembly Lines

    Stanisavljevic, Darko, Spitzer, Michael · 2017

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.495135

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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
  7. Role Of Artificial Intelligence In FMS A Review

    Dhruv Lal, A.K. Madan · 2022 · Recent Trends in Production Engineering

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.6446618

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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. Material flow network for modelling the additive repair process by means of the PBF-LB process based on the example of tool steel 1.2709 powder

    Wurst, Johanna, Ganter, Nicola · 2023

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.7889372

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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. Primary collected data for modelling the additive MAR/R process by means of the PBF-LB process based on the example of tool steel 1.2709 powder

    Wurst, Johanna, Ganter, Nicola · 2023

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.7890446

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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. Data Study Group Final Report: AMRC - Data augmentation and synthetic data generation for low frequency and sparse data problems

    Data Study Group Team · 2023

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in zenodo · DOI 10.5281/zenodo.8328245

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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