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Author

Sivachandran Chandrasekaran

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#federated learning Open access Sep 2026

Threshold-grounded decision reliability for predictive maintenance under centralized and federated learning

This capsule supports independent verification of a threshold-grounded predictive-maintenance (PdM) reliability study. The work asks whether maintenance decisions remain defensible under a fixed operating threshold when industrial information is uncertain, class-imbalanced, and split across sites, comparing centralized...

Aman Sharma, Kwan Yong Sim, Sivachandran Chandrasekaran · 0 citations
#federated learning Open access Sep 2026

AERF: Adaptive Evidence-Assured Predictive-Maintenance Framework

AERF is a modular research framework for governed evaluation of predictive-maintenance models across classification, regression, remaining-useful-life, and physical-edge execution routes. The capsule provides the base framework, campaign executor, model adapters, dataset registry, physical-edge validation utilities, re...

Aman Sharma, Kwan Yong Sim, Sivachandran Chandrasekaran · 0 citations

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