3 papers
cs.AI2026
Robust Prototypical Networks for Few-Shot Sensor Fault Diagnosis
Mohammed Ayalew Belay, Amirshayan Haghipour, Pierluigi Salvo Rossi
Industrial fault diagnosis often operates with only a handful of labeled fault examples, making few-shot learning attractive for sensor monitoring. Standard prototypical networks a…
cs.AI2026
Kalman Prototypical Networks for Few-shot Fault Detection in Combined Cycle Gas Turbines
Mohammed Ayalew Belay, Lucas Ferreira Bernardino, Adil Rasheed +2
Combined-cycle gas turbines (CCGTs) play a key role in modern power generation, offering both high efficiency and reduced environmental impact. However, their complex thermo-fluid…
cs.LG2026
Digital Twin-Driven Communication-Efficient Federated Anomaly Detection for Industrial IoT
Mohammed Ayalew Belay, Adil Rasheed, Pierluigi Salvo Rossi
Anomaly detection is increasingly becoming crucial for maintaining the safety, reliability, and efficiency of industrial systems. Recently, with the advent of digital twins and dat…