Andreas Schwung
Orcid: 0000-0001-8405-0977
According to our database1,
Andreas Schwung
authored at least 108 papers
between 2009 and 2024.
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Bibliography
2024
ITF-GAN: Synthetic time series dataset generation and manipulation by interpretable features.
Knowl. Based Syst., January, 2024
Dynamic robot routing optimization: State-space decomposition for operations research-informed reinforcement learning.
Robotics Comput. Integr. Manuf., 2024
Knowl. Based Syst., 2024
Bridging the gap: Active learning for efficient domain adaptation in object detection.
Expert Syst. Appl., 2024
Comput. Vis. Image Underst., 2024
Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games.
CoRR, 2024
Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems.
CoRR, 2024
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems.
CoRR, 2024
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems.
CoRR, 2024
Time Series Compression using Quaternion Valued Neural Networks and Quaternion Backpropagation.
CoRR, 2024
Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning.
CoRR, 2024
IEEE Access, 2024
Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024
Foreign Object Separation in Bulk Good Systems Using Machine Learning and Image Processing.
Proceedings of the IEEE International Conference on Industrial Technology, 2024
Proceedings of the IEEE International Conference on Industrial Technology, 2024
Sim-to-Real Transfer for Robotics Using Model-Free Curriculum Reinforcement Learning.
Proceedings of the IEEE International Conference on Industrial Technology, 2024
Model-based Reinforcement Learning for Sim-to-Real Transfer in Robotics using HTM neural networks.
Proceedings of the 10th International Conference on Control, 2024
2023
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies.
IEEE Trans. Cybern., September, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Extracting interpretable features for time series analysis: A Bag-of-Functions approach.
Expert Syst. Appl., July, 2023
MLPro-MPPS - A high-performance simulation framework for customizable production systems.
Softw. Impacts, May, 2023
IEEE Access, 2023
Stability-Guaranteed Control Systems with Min-Max Constraints and Machine Learning-Based Virtual Sensors.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Model Predictive Control with Adaptive PLC-based Policy on Low Dimensional State Representation for Industrial Applications.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023
Improving Cross-Domain Semi-Supervised Object Detection with Adversarial Domain Adaptation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023
Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023
Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023
Deep Multimodal Fusion with Corrupted Spatio-Temporal Data Using Fuzzy Regularization.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Multimodal Synthetic Dataset Balancing: a Framework for Realistic and Balanced Training Data Generation in Industrial Settings.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Proceedings of the IEEE International Conference on Industrial Technology, 2023
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023
2022
MLPro - An integrative middleware framework for standardized machine learning tasks in Python.
Softw. Impacts, December, 2022
Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach.
IEEE Trans. Cybern., 2022
CoRR, 2022
Appl. Soft Comput., 2022
Predicting Rigid Body Dynamics Using Dual Quaternion Recurrent Neural Networks With Quaternion Attention.
IEEE Access, 2022
IEEE Access, 2022
IEEE Access, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022
Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks.
Proceedings of the Pattern Recognition Applications and Methods, 2022
Homogeneous Transformation Matrix Based Neural Network for Model Based Reinforcement Learning on Robot Manipulator.
Proceedings of the IEEE International Conference on Industrial Technology, 2022
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022
2021
A Sequence-to-Sequence Approach for Remaining Useful Lifetime Estimation Using Attention-augmented Bidirectional LSTM.
Intell. Syst. Appl., 2021
Generalized dilation convolutional neural networks for remaining useful lifetime estimation.
Neurocomputing, 2021
Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning.
Comput. Chem. Eng., 2021
Monitoring and Forecasting of Air Emissions with IoT Measuring Stations and a SaaS Cloud Application.
Proceedings of the 2nd International Conference on Societal Automation, 2021
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021
2020
CoRR, 2020
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
Proceedings of the 2020 IEEE International Conference on Industrial Technology, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020
2019
Actor-Critic Reinforcement Learning for Energy Optimization in Hybrid production Environments.
Int. J. Comput., 2019
Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Time Series based Fault Detection in Industrial Processes using Convolutional Neural Networks.
Proceedings of the IECON 2019, 2019
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019
2018
On-line Energy Optimization of Hybrid Production Systems Using Actor-Critic Reinforcement Learning.
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018
Development of a Mobile App for Fault Detection Assessment based on Information Fusion.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018
Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018
Proceedings of the IEEE International Conference on Industrial Technology, 2018
Fault Detection Assessment Architectures based on Classification Methods and Information Fusion.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018
2017
PLC-Based Real-Time Realization of Flatness-Based Feedforward Control for Industrial Compression Systems.
IEEE Trans. Ind. Electron., 2017
Self-optimization of energy consumption in complex bulk good processes using reinforcement learning.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
System reconfiguration of modular production units using a SOA-based control structure.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Comparison of deep neural network architectures for fault detection in Tennessee Eastman process.
Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017
Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017
Proceedings of the 2017 European Modelling Symposium (EMS), 2017
Competitive Evaluation of Energy Management Strategies for Hybrid Electric Vehicle Based on Real World Driving.
Proceedings of the 2017 European Modelling Symposium (EMS), 2017
2015
Fault diagnosis of dynamical systems using recurrent fuzzy systems with application to an electrohydraulic servo axis.
Fuzzy Sets Syst., 2015
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015
2014
Nonlinear decoupling control of compressor systems for fast load transients in combined cycle power plants.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014
Flatness-based feedforward control for fast operating point transitions of compressor systems.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014
2013
Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013
2012
Fuzzy Sets Syst., 2012
2011
IEEE Trans. Fuzzy Syst., 2011
2010
Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems.
Fuzzy Sets Syst., 2010
Anwendung zeitdiskreter rekurrenter Fuzzy-Systeme zur Fehlerdiagnose (Fault Diagnosis employing Recurrent Fuzzy Systems).
Autom., 2010
Nonlinear system modeling via hybrid system representation of recurrent fuzzy systems.
Proceedings of the FUZZ-IEEE 2010, 2010
2009
Modellierung dynamischer Systeme mit zeitkontinuierlichen rekurrenten Fuzzy-Systemen (Modeling of Dynamical Systems Using Continuous-time Recurrent Fuzzy Systems).
Autom., 2009
Proceedings of the FUZZ-IEEE 2009, 2009