Data-Efficient Estimation of Remaining Useful Life for Machinery With a Limited Number of Run-to-Failure Training Sequences. - German Sternharz; Ayman Elhalwagy; Tatiana Kalganova (IEEE Access, 2022)

Hybridization of Capsule and LSTM Networks for unsupervised anomaly detection on multivariate data. - Ayman Elhalwagy; Tatiana Kalganova (CoRR, 2022)

Self-Protected Virtual Sensor Network for Microcontroller Fault Detection. - German Sternharz; Jonas Skackauskas; Ayman Elhalwagy; Anthony J. Grichnik; Tatiana Kalganova; Md. Nazmul Huda (Sensors, 2022)

Heterogeneous Induction Motor Current Dataset Fusion for Efficient Generalised MCSA-Based Fault Classification. - Ayman Elhalwagy; Tatiana Kalganova (DASC/PiCom/CBDCom/CyberSciTech, 2023)

A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets. - Ayman Elhalwagy; Tatiana Kalganova (IEEE Access, 2023)