Gavneet Singh Chadha

20 papers C 5Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	—	`—`	Deep Neural Network Architectures for Prognostics and Health Management of Industrial Systems Gavneet Singh Chadha
2023	J	`jnl`	Gradient Monitored Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding
2022	J	`jnl`	Contrastive learning based self-supervised time-series analysis. Appl. Soft Comput. Johannes Pöppelbaum, Gavneet Singh Chadha, Andreas Schwung
2022	J	`jnl`	Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation. IEEE Access Gavneet Singh Chadha, Sayed Rafay Bin Shah, Andreas Schwung, Steven X. Ding
2021	J	`jnl`	A Sequence-to-Sequence Approach for Remaining Useful Lifetime Estimation Using Attention-augmented Bidirectional LSTM. Intell. Syst. Appl. Sayed Rafay Bin Shah, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding
2021	J	`jnl`	Deep Convolutional Clustering-Based Time Series Anomaly Detection. Sensors Gavneet Singh Chadha, Intekhab Islam, Andreas Schwung, Steven X. Ding
2021	C	`conf`	Generalized Dilation Structures in Convolutional Neural Networks. ICPRAM Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung
2021	J	`jnl`	Generalized dilation convolutional neural networks for remaining useful lifetime estimation. Neurocomputing Gavneet Singh Chadha, Utkarsh Panara, Andreas Schwung, Steven X. Ding
2020	J	`jnl`	Gradient Monitored Reinforcement Learning. CoRR Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding
2020	—	`conf`	Permutation Learning in Convolutional Neural Networks for Time-Series Analysis. ICANN (1) Gavneet Singh Chadha, Jinwoo Kim, Andreas Schwung, Steven X. Ding
2020	C	`conf`	Remaining Useful Lifetime Estimation with Sobolev Training. ETFA Gavneet Singh Chadha, S. M. Nazmus Sakeib, Andreas Schwung
2019	C	`conf`	Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes. INDIN Gavneet Singh Chadha, Arfyan Rabbani, Andreas Schwung
2019	J	`jnl`	Generalized Dilation Neural Networks. CoRR Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung
2019	J	`jnl`	Learning the Non-linearity in Convolutional Neural Networks. CoRR Gavneet Singh Chadha, Andreas Schwung
2019	—	`conf`	Regularizing Neural Networks with Gradient Monitoring. INNSBDDL Gavneet Singh Chadha, Elnaz Meydani, Andreas Schwung
2019	C	`conf`	Time Series based Fault Detection in Industrial Processes using Convolutional Neural Networks. IECON Gavneet Singh Chadha, Monica Krishnamoorthy, Andreas Schwung
2019	—	`conf`	Traffic Sign Detection Using R-CNN. INNSBDDL Philipp Rehlaender, Maik Schroeer, Gavneet Singh Chadha, Andreas Schwung
2018	—	`conf`	Integrated IPC for data-driven fault detection. ICPS Fabian Westbrink, Gavneet Singh Chadha, Andreas Schwung
2018	—	`conf`	Optimal dosing of bulk material using mass-flow estimation and DEM simulation. ICIT Gavneet Singh Chadha, Fabian Westbrink, Thomas Schütte, Andreas Schwung
2017	C	`conf`	Comparison of deep neural network architectures for fault detection in Tennessee Eastman process. ETFA Gavneet Singh Chadha, Andreas Schwung