Comparison of deep neural network architectures for fault detection in Tennessee Eastman process. - Gavneet Singh Chadha; Andreas Schwung (ETFA, 2017)

Optimal dosing of bulk material using mass-flow estimation and DEM simulation. - Gavneet Singh Chadha; Fabian Westbrink; Thomas Schütte; Andreas Schwung (ICIT, 2018)

Integrated IPC for data-driven fault detection. - Fabian Westbrink; Gavneet Singh Chadha; Andreas Schwung (ICPS, 2018)

Time Series based Fault Detection in Industrial Processes using Convolutional Neural Networks. - Gavneet Singh Chadha; Monica Krishnamoorthy; Andreas Schwung (IECON, 2019)

Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes. - Gavneet Singh Chadha; Arfyan Rabbani; Andreas Schwung (INDIN, 2019)

Regularizing Neural Networks with Gradient Monitoring. - Gavneet Singh Chadha; Elnaz Meydani; Andreas Schwung (INNSBDDL, 2019)

Traffic Sign Detection Using R-CNN. - Philipp Rehlaender; Maik Schroeer; Gavneet Singh Chadha; Andreas Schwung (INNSBDDL, 2019)

Generalized Dilation Neural Networks. - Gavneet Singh Chadha; Jan Niclas Reimann; Andreas Schwung (CoRR, 2019)

Learning the Non-linearity in Convolutional Neural Networks. - Gavneet Singh Chadha; Andreas Schwung (CoRR, 2019)

Remaining Useful Lifetime Estimation with Sobolev Training. - Gavneet Singh Chadha; S. M. Nazmus Sakeib; Andreas Schwung (ETFA, 2020)

Permutation Learning in Convolutional Neural Networks for Time-Series Analysis. - Gavneet Singh Chadha; Jinwoo Kim; Andreas Schwung; Steven X. Ding (ICANN (1), 2020)

Generalized Dilation Structures in Convolutional Neural Networks. - Gavneet Singh Chadha; Jan Niclas Reimann; Andreas Schwung (ICPRAM, 2021)

Generalized dilation convolutional neural networks for remaining useful lifetime estimation. - Gavneet Singh Chadha; Utkarsh Panara; Andreas Schwung; Steven X. Ding (Neurocomputing, 2021)

A Sequence-to-Sequence Approach for Remaining Useful Lifetime Estimation Using Attention-augmented Bidirectional LSTM. - Sayed Rafay Bin Shah; Gavneet Singh Chadha; Andreas Schwung; Steven X. Ding (Intell. Syst. Appl., 2021)

Deep Convolutional Clustering-Based Time Series Anomaly Detection. - Gavneet Singh Chadha; Intekhab Islam; Andreas Schwung; Steven X. Ding (Sensors, 2021)

Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation. - Gavneet Singh Chadha; Sayed Rafay Bin Shah; Andreas Schwung; Steven X. Ding (IEEE Access, 2022)

Contrastive learning based self-supervised time-series analysis. - Johannes Pöppelbaum; Gavneet Singh Chadha; Andreas Schwung (Appl. Soft Comput., 2022)

Gradient Monitored Reinforcement Learning. - Mohammed Sharafath Abdul Hameed; Gavneet Singh Chadha; Andreas Schwung; Steven X. Ding (IEEE Trans. Neural Networks Learn. Syst., 2023)

Deep Neural Network Architectures for Prognostics and Health Management of Industrial Systems - Gavneet Singh Chadha (2024)