Trustworthy Multimodal Tool-Wear Prediction: Bias Auditing, Lifecycle Mitigation, and Data-Intrinsic Limits

Ahangar MN, Farhat ZA, Sivanathan A, Farhat MA, Hashemi E.

DOI: 10.20944/preprints202608.0160.v1
Published: 2026-08-04
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Cite this work

BibTeX

@article{allodium:10.20944/preprints202608.0160.v1,
  title = {Trustworthy Multimodal Tool-Wear Prediction: Bias Auditing, Lifecycle Mitigation, and Data-Intrinsic Limits},
  author = {Ahangar MN and  Farhat ZA and  Sivanathan A and  Farhat MA and  Hashemi E.},
  year = {2026},
  doi = {10.20944/preprints202608.0160.v1},
  url = {https://doi.org/10.20944/preprints202608.0160.v1}
}

RIS

TY  - JOUR
TI  - Trustworthy Multimodal Tool-Wear Prediction: Bias Auditing, Lifecycle Mitigation, and Data-Intrinsic Limits
AU  - Ahangar MN
AU  -  Farhat ZA
AU  -  Sivanathan A
AU  -  Farhat MA
AU  -  Hashemi E.
PY  - 2026
DO  - 10.20944/preprints202608.0160.v1
UR  - https://doi.org/10.20944/preprints202608.0160.v1
ER  -

APA

MN, A., ZA, F., A, S., MA, F., & E., H. (2026). Trustworthy Multimodal Tool-Wear Prediction: Bias Auditing, Lifecycle Mitigation, and Data-Intrinsic Limits. https://doi.org/10.20944/preprints202608.0160.v1

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europe-pmc · retrieved 2026-09-26T03:09:58.135Z