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...
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...
Reproducibility capsule for FusionNet Lite, a lightweight sequence-fusion deep-learning pipeline for predictive maintenance in industrial IoT systems. The campaign evaluates FusionNet Lite alongside CNN, BiLSTM, MLP, and CNN-LSTM baselines using centralized and FedAvg federated training across five seeds. The capsule i...
