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IEEE Transactions on Cybernetics
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June 22, 2022
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies
Dorothea Schwung, Steve Yuwono, Andreas Schwung, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 9, 2022
Curriculum-Based Deep Reinforcement Learning for Quantum Control
Hailan Ma, Daoyi Dong, Steven X Ding, et al.
Sensors (Basel, Switzerland)
|
August 28, 2021
Deep Convolutional Clustering-Based Time Series Anomaly Detection
Gavneet Singh Chadha, Intekhab Islam, Andreas Schwung, et al.
IEEE Transactions on Cybernetics
|
March 8, 2019
Design of a Discrete-Time Fault-Tolerant Quantum Filter and Fault Detector
Qing Gao, Daoyi Dong, Ian R Petersen, et al.
ISA Transactions
|
July 21, 2020
Bidirectional deep recurrent neural networks for process fault classification
Gavneet Singh Chadha, Ambarish Panambilly, Andreas Schwung, et al.
IEEE Transactions on Cybernetics
|
December 31, 2020
Extended Relevance Vector Machine-Based Remaining Useful Life Prediction for DC-Link Capacitor in High-Speed Train
Xiuli Wang, Bin Jiang, Steven X Ding, et al.
ISA Transactions
|
January 18, 2014
A data-driven multiplicative fault diagnosis approach for automation processes
Haiyang Hao, Kai Zhang, Steven X Ding, et al.
IEEE Transactions on Cybernetics
|
December 2, 2025
Data-Driven Distributed Kalman Filter-Based Sensor Fault Isolation and Estimation for Large-Scale Interconnected Systems
Shuyu Ding, Haoran Ma, Zhengen Zhao, et al.
ISA Transactions
|
September 14, 2017
Fault detection for piecewise affine systems with application to ship propulsion systems
Ying Yang, Li Linlin, Steven X Ding, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
October 25, 2021
Gradient Monitored Reinforcement Learning
Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, et al.
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of 3
Search research articles
Search
Showing results (11-20 of 25) with videos related to
Sort By:
Page
of 3
IEEE Transactions on Cybernetics
|
June 22, 2022
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies
Dorothea Schwung, Steve Yuwono, Andreas Schwung, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 9, 2022
Curriculum-Based Deep Reinforcement Learning for Quantum Control
Hailan Ma, Daoyi Dong, Steven X Ding, et al.
Sensors (Basel, Switzerland)
|
August 28, 2021
Deep Convolutional Clustering-Based Time Series Anomaly Detection
Gavneet Singh Chadha, Intekhab Islam, Andreas Schwung, et al.
IEEE Transactions on Cybernetics
|
March 8, 2019
Design of a Discrete-Time Fault-Tolerant Quantum Filter and Fault Detector
Qing Gao, Daoyi Dong, Ian R Petersen, et al.
ISA Transactions
|
July 21, 2020
Bidirectional deep recurrent neural networks for process fault classification
Gavneet Singh Chadha, Ambarish Panambilly, Andreas Schwung, et al.
IEEE Transactions on Cybernetics
|
December 31, 2020
Extended Relevance Vector Machine-Based Remaining Useful Life Prediction for DC-Link Capacitor in High-Speed Train
Xiuli Wang, Bin Jiang, Steven X Ding, et al.
ISA Transactions
|
January 18, 2014
A data-driven multiplicative fault diagnosis approach for automation processes
Haiyang Hao, Kai Zhang, Steven X Ding, et al.
IEEE Transactions on Cybernetics
|
December 2, 2025
Data-Driven Distributed Kalman Filter-Based Sensor Fault Isolation and Estimation for Large-Scale Interconnected Systems
Shuyu Ding, Haoran Ma, Zhengen Zhao, et al.
ISA Transactions
|
September 14, 2017
Fault detection for piecewise affine systems with application to ship propulsion systems
Ying Yang, Li Linlin, Steven X Ding, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
October 25, 2021
Gradient Monitored Reinforcement Learning
Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, et al.
Page
of 3