Gavneet Singh Chadha

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 19

Top Topics

Fault Detection

Flow Estimation

Tennessee Eastman

Top Venues

Publications

Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding
Gradient Monitored Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Johannes Pöppelbaum, Gavneet Singh Chadha, Andreas Schwung
Contrastive learning based self-supervised time-series analysis. Appl. Soft Comput. 117 (2022)
Gavneet Singh Chadha, Sayed Rafay Bin Shah, Andreas Schwung, Steven X. Ding
Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation. IEEE Access 10 (2022)
Gavneet Singh Chadha, Intekhab Islam, Andreas Schwung, Steven X. Ding
Deep Convolutional Clustering-Based Time Series Anomaly Detection. Sensors 21 (16) (2021)
Gavneet Singh Chadha, Utkarsh Panara, Andreas Schwung, Steven X. Ding
Generalized dilation convolutional neural networks for remaining useful lifetime estimation. Neurocomputing 452 (2021)
Sayed Rafay Bin Shah, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding
A Sequence-to-Sequence Approach for Remaining Useful Lifetime Estimation Using Attention-augmented Bidirectional LSTM. Intell. Syst. Appl. (2021)
Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung
Generalized Dilation Structures in Convolutional Neural Networks. ICPRAM (2021)
Gavneet Singh Chadha, S. M. Nazmus Sakeib, Andreas Schwung
Remaining Useful Lifetime Estimation with Sobolev Training. ETFA (2020)
Gavneet Singh Chadha, Jinwoo Kim, Andreas Schwung, Steven X. Ding
Permutation Learning in Convolutional Neural Networks for Time-Series Analysis. ICANN (1) (2020)
Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding
Gradient Monitored Reinforcement Learning. CoRR (2020)
Philipp Rehlaender, Maik Schroeer, Gavneet Singh Chadha, Andreas Schwung
Traffic Sign Detection Using R-CNN. INNSBDDL (2019)
Gavneet Singh Chadha, Monica Krishnamoorthy, Andreas Schwung
Time Series based Fault Detection in Industrial Processes using Convolutional Neural Networks. IECON (2019)
Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung
Generalized Dilation Neural Networks. CoRR (2019)
Gavneet Singh Chadha, Elnaz Meydani, Andreas Schwung
Regularizing Neural Networks with Gradient Monitoring. INNSBDDL (2019)
Gavneet Singh Chadha, Arfyan Rabbani, Andreas Schwung
Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes. INDIN (2019)
Gavneet Singh Chadha, Andreas Schwung
Learning the Non-linearity in Convolutional Neural Networks. CoRR (2019)
Fabian Westbrink, Gavneet Singh Chadha, Andreas Schwung
Integrated IPC for data-driven fault detection. ICPS (2018)
Gavneet Singh Chadha, Fabian Westbrink, Thomas Schütte, Andreas Schwung
Optimal dosing of bulk material using mass-flow estimation and DEM simulation. ICIT (2018)
Gavneet Singh Chadha, Andreas Schwung
Comparison of deep neural network architectures for fault detection in Tennessee Eastman process. ETFA (2017)