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Towards trustworthy AI in Industry 5.0: Ante-hoc interpretability with deep learning

Lianhong Zhou et al.

Computers & Industrial Engineering2026https://doi.org/10.1016/j.cie.2026.111805article
AJG 2ABDC A
Weight
0.48

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https://doi.org/https://doi.org/10.1016/j.cie.2026.111805

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@article{lianhong2026,
  title        = {{Towards trustworthy AI in Industry 5.0: Ante-hoc interpretability with deep learning}},
  author       = {Lianhong Zhou et al.},
  journal      = {Computers & Industrial Engineering},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.cie.2026.111805},
}

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Towards trustworthy AI in Industry 5.0: Ante-hoc interpretability with deep learning

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Evidence weight

0.48

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.41 × 0.4 = 0.16
M · momentum0.63 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.