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Andreas Schwung

Showing results (1-10 of 8) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|April 26, 2025
Time series compression using quaternion valued neural networks and quaternion backpropagationJohannes Pöppelbaum, Andreas Schwung
IEEE Transactions on Cybernetics|September 25, 2025
Integrating Deep Model-Based Learning With Modular State-Based Stackelberg Games for Self-Optimizing Distributed Production SystemsSteve Yuwono, Andreas Schwung, Dorothea Schwung
IEEE Transactions on Cybernetics|July 30, 2020
Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game ApproachDorothea Schwung, Andreas Schwung, Steven X Ding
IEEE Transactions on Cybernetics|June 22, 2022
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production PoliciesDorothea Schwung, Steve Yuwono, Andreas Schwung, et al.
Sensors (Basel, Switzerland)|August 14, 2025
Resampling Multi-Resolution Signals Using the Bag of Functions Framework: Addressing Variable Sampling Rates in Time Series DataDavid Orlando Salazar Torres, Diyar Altinses, Andreas Schwung
Sensors (Basel, Switzerland)|August 28, 2021
Deep Convolutional Clustering-Based Time Series Anomaly DetectionGavneet Singh Chadha, Intekhab Islam, Andreas Schwung, et al.
ISA Transactions|July 21, 2020
Bidirectional deep recurrent neural networks for process fault classificationGavneet Singh Chadha, Ambarish Panambilly, Andreas Schwung, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 25, 2021
Gradient Monitored Reinforcement LearningMohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|April 26, 2025
Time series compression using quaternion valued neural networks and quaternion backpropagationJohannes Pöppelbaum, Andreas Schwung
IEEE Transactions on Cybernetics|September 25, 2025
Integrating Deep Model-Based Learning With Modular State-Based Stackelberg Games for Self-Optimizing Distributed Production SystemsSteve Yuwono, Andreas Schwung, Dorothea Schwung
IEEE Transactions on Cybernetics|July 30, 2020
Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game ApproachDorothea Schwung, Andreas Schwung, Steven X Ding
IEEE Transactions on Cybernetics|June 22, 2022
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production PoliciesDorothea Schwung, Steve Yuwono, Andreas Schwung, et al.
Sensors (Basel, Switzerland)|August 14, 2025
Resampling Multi-Resolution Signals Using the Bag of Functions Framework: Addressing Variable Sampling Rates in Time Series DataDavid Orlando Salazar Torres, Diyar Altinses, Andreas Schwung
Sensors (Basel, Switzerland)|August 28, 2021
Deep Convolutional Clustering-Based Time Series Anomaly DetectionGavneet Singh Chadha, Intekhab Islam, Andreas Schwung, et al.
ISA Transactions|July 21, 2020
Bidirectional deep recurrent neural networks for process fault classificationGavneet Singh Chadha, Ambarish Panambilly, Andreas Schwung, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 25, 2021
Gradient Monitored Reinforcement LearningMohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, et al.
Pageof 1