On-Line Error Detection and Mitigation for Time-Series Data of Cyber-Physical Systems using Deep Learning Based Methods. - Kai Ding 001; Sheng Ding; Andrey Morozov 001; Tagir Fabarisov; Klaus Janschek (EDCC, 2019)

Model-based Fault Injection Experiments for the Safety Analysis of Exoskeleton System. - Tagir Fabarisov; Ilshat Mamaev; Andrey Morozov 001; Klaus Janschek (CoRR, 2021)

FIDGET: Deep Learning-Based Fault Injection Framework for Safety Analysis and Intelligent Generation of Labeled Training Data. - Tagir Fabarisov; Andrey Morozov 001; Ilshat Mamaev; Philipp Grimmeisen (ETFA, 2022)

Automated Model-Based Reliability Assessment of Software-Defined Manufacturing. - Philipp Grimmeisen; Andrey Morozov 001; Tagir Fabarisov; Andreas Wortmann 001; Chee Hung Koo (ETFA, 2022)

Hybrid Lightweight Deep Learning-Based Error Detection Model on Edge Computing Devices. - Arman Aghaei Attar; Tagir Fabarisov; Andrey Morozov 001; Maurice Artelt; Ilshat Mamaev (ETFA, 2023)

Remedy: Automated Design and Deployment of Hybrid Deep Learning-based Error Detectors. - Tagir Fabarisov; Vishnu Gangadhara Naik; Arman Aghaei Attar; Andrey Morozov 001 (IECON, 2023)

Improving Anomaly Detection with Adaptive Dynamic Threshold: A Review and Enhanced Method. - Arman Aghaei Attar; Kaibin Bao; Veit Hagenmeyer; Tagir Fabarisov; Andrey Morozov 001 (ICSRS, 2024)