Andreas Schwung

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 97

Top Venues

Publications

Mochammad Rizky Diprasetya, Ali Nafih Pullani, Andreas Schwung
Sim-to-Real Transfer for Robotics Using Model-Free Curriculum Reinforcement Learning. ICIT (2024)
Maximilian Menke, Thomas Wenzel, Andreas Schwung
Bridging the gap: Active learning for efficient domain adaptation in object detection. Expert Syst. Appl. 254 (2024)
Hendrik Klopries, Vignesh Chandramouli, Andreas Schwung
Bag-of-Future: Time Series Forecasting by Continuous Function Candidates. ISIE (2024)
Johannes Pöppelbaum, Andreas Schwung
Time Series Compression using Quaternion Valued Neural Networks and Quaternion Backpropagation. CoRR (2024)
Hendrik Klopries, Andreas Schwung
ITF-GAN: Synthetic time series dataset generation and manipulation by interpretable features. Knowl. Based Syst. 283 (2024)
M. Tahasanul Ibrahim, Nikhil Limaye, Andreas Schwung
Node Reservation Based Incremental Learning Network for Object Detection. ICIT (2024)
Steve Yuwono, Marlon Löppenberg, Dorothea Schwung, Andreas Schwung
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems. CoRR (2024)
Sofiene Lassoued, Andreas Schwung
Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning. CoRR (2024)
Marlon Löppenberg, Hendrik Klopries, Jonas Bartsch, Andreas Schwung
Foreign Object Separation in Bulk Good Systems Using Machine Learning and Image Processing. ICIT (2024)
Johannes Pöppelbaum, Andreas Schwung
Improving Quaternion Neural Networks with Quaternionic Activation Functions. CoRR (2024)
Marlon Löppenberg, Steve Yuwono, Mochammad Rizky Diprasetya, Andreas Schwung
Dynamic robot routing optimization: State-space decomposition for operations research-informed reinforcement learning. Robotics Comput. Integr. Manuf. 90 (2024)
Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung
Adaptive Information Fusion Using Evidence Theory and Uncertainty Quantification. IEEE Access 12 (2024)
Hendrik Klopries, Andreas Schwung
Extracting interpretable features for time series analysis: A Bag-of-Functions approach. Expert Syst. Appl. 221 (2023)
Diyar Altinses, Andreas Schwung
Deep Multimodal Fusion with Corrupted Spatio-Temporal Data Using Fuzzy Regularization. IECON (2023)
Maximilian Menke, Thomas Wenzel, Andreas Schwung
Improving Cross-Domain Semi-Supervised Object Detection with Adversarial Domain Adaptation. IV (2023)
Eric Hilgert, Andreas Schwung
Stability-Guaranteed Control Systems with Min-Max Constraints and Machine Learning-Based Virtual Sensors. SMC (2023)
Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung
Anomaly Detection Using Ensemble Classification and Evidence Theory. IEEE Access 11 (2023)
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)
Steve Yuwono, Marlon Löppenberg, Detlef Arend, Mochammad Rizky Diprasetya, Andreas Schwung
MLPro-MPPS - A high-performance simulation framework for customizable production systems. Softw. Impacts 16 (2023)
Hendrik Klopries, Andreas Schwung
Flexible Activation Bag: Learning Activation Functions in Autoencoder Networks. ICIT (2023)
Steve Yuwono, Andreas Schwung
Model Predictive Control with Adaptive PLC-based Policy on Low Dimensional State Representation for Industrial Applications. MED (2023)
Diyar Altinses, Andreas Schwung
Multimodal Synthetic Dataset Balancing: a Framework for Realistic and Balanced Training Data Generation in Industrial Settings. IECON (2023)
Hendrik Klopries, Andreas Schwung
Bag-of-Functions Denoising: Extracting main components in time series. ISIE (2023)
Marlon Löppenberg, Andreas Schwung
Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes. INDIN (2023)
Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies. IEEE Trans. Cybern. 53 (9) (2023)
Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung
Information Fusion for Assistance Systems in Production Assessment. CoRR (2023)
Steve Yuwono, Andreas Schwung
A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems. ETFA (2023)
Mochammad Rizky Diprasetya, Steve Yuwono, Marlon Löppenberg, Andreas Schwung
Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation. INDIN (2023)
Marlon Löppenberg, Andreas Schwung
Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes. CoRR (2023)
Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
Adopting attention-mechanisms for Neural Logic Rule Layers. Autom. 70 (3) (2022)
Johannes Pöppelbaum, Andreas Schwung
Quaternion Backpropagation. CoRR (2022)
Johannes Pöppelbaum, Andreas Schwung
Predicting Rigid Body Dynamics Using Dual Quaternion Recurrent Neural Networks With Quaternion Attention. IEEE Access 10 (2022)
Johannes Pöppelbaum, Gavneet Singh Chadha, Andreas Schwung
Contrastive learning based self-supervised time-series analysis. Appl. Soft Comput. 117 (2022)
Dorothea Schwung, Andreas Schwung, Steven X. Ding
Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach. IEEE Trans. Cybern. 52 (4) (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)
Maximilian Menke, Thomas Wenzel, Andreas Schwung
AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection. CoRR (2022)
Detlef Arend, Mochammad Rizky Diprasetya, Steve Yuwono, Andreas Schwung
MLPro - An integrative middleware framework for standardized machine learning tasks in Python. Softw. Impacts 14 (2022)
Steve Yuwono, Andreas Schwung, Dorothea Schwung
The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization. INDIN (2022)
Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung
Production Assessment Using a Knowledge Transfer Framework and Evidence Theory. IEEE Access 10 (2022)
Mohammed Sharafath Abdul Hameed, Venkata Harshit Koneru, Johannes Pöppelbaum, Andreas Schwung
Curriculum Learning in Peristaltic Sortation Machine. INDIN (2022)
Maximilian Menke, Thomas Wenzel, Andreas Schwung
Improving GAN-based Domain Adaptation for Object Detection. ITSC (2022)
Fernando Arévalo N., Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung
Production Assessment using a Knowledge Transfer Framework and Evidence Theory. CoRR (2022)
Hendrik Klopries, David Orlando Salazar Torres, Andreas Schwung
Synthetic time series dataset generation for unsupervised autoencoders. ETFA (2022)
Jan Niclas Reimann, Bhargav Bharat Shukla, Andreas Schwung, Steven X. Ding
Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks. ICPRAM (Revised Selected Papers) (2022)
Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
Neural logic rule layers. Inf. Sci. 596 (2022)
Mochammad Rizky Diprasetya, Andreas Schwung
Homogeneous Transformation Matrix Based Neural Network for Model Based Reinforcement Learning on Robot Manipulator. ICIT (2022)
Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung
Anomaly Detection using Ensemble Classification and Evidence Theory. CoRR (2022)
Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung
Curiosity Based RL on Robot Manufacturing Cell. ICIT (2021)
Monica Krishnamoorthy, Mohammed Sharafath Abdul Hameed, Thomas Kopinski, Andreas Schwung
Disease Prediction Based on Individual's Medical History Using CNN. ICMLA (2021)
Gavneet Singh Chadha, Intekhab Islam, Andreas Schwung, Steven X. Ding
Deep Convolutional Clustering-Based Time Series Anomaly Detection. Sensors 21 (16) (2021)
Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding
Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning. Comput. Chem. Eng. 152 (2021)
Fernando Arévalo N., Christian Alison M. Piolo, Joachim Arens, Andreas Schwung, Matthias Hermes
Knowledge Internalization using Virtual Training on the HoloLens. ICIT (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)
Fernando Arévalo N., M. Tahasanul Ibrahim, Rizky M. Diprasetya, Omar Otoniel Flores, Andreas Schwung
Monitoring and Forecasting of Air Emissions with IoT Measuring Stations and a SaaS Cloud Application. SA (2021)
Andreas Schwung, Johannes Pöppelbaum, Pradeep C. Nutakki
Rigid Body Movement Prediction Using Dual Quaternion Recurrent Neural Networks. ICIT (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)
Fernando Arévalo, Dimitri Sunaringtyas, Cristhian Tito, Christian Piolo, Andreas Schwung
Interactive Visual Procedure using an extended FMEA and Mixed-Reality. ICIT (2020)
Mohammed Sharafath Abdul Hameed, Andreas Schwung
Reinforcement Learning on Job Shop Scheduling Problems Using Graph Networks. CoRR (2020)
Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung
Curiosity Based Reinforcement Learning on Robot Manufacturing Cell. CoRR (2020)
Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding
Gradient Monitored Reinforcement Learning. CoRR (2020)
Fabian Westbrink, Andreas Schwung, Steven X. Ding
How to get a Parcel surfing. AIM (2020)
Fabian Westbrink, Andreas Schwung, Steven X. Ding
Data-based control of Peristaltic Sortation Machines using Discrete Element Method. IECON (2020)
Johannes Pöppelbaum, Andreas Schwung
Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention. 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)
Andreas Schwung, Dorothea Schwung, Mohammed Sharafath Abdul Hameed
Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches. INDIN (2019)
Fabian Westbrink, Roshin Sivanandan, Thomas Schütte, Andreas Schwung
Design approach and simulation of a peristaltic sortation machine. AIM (2019)
Dorothea Schwung, Andreas Schwung, Steven X. Ding
Actor-Critic Reinforcement Learning for Energy Optimization in Hybrid production Environments. Int. J. Comput. 18 (2019)
Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
Potential Game based Distributed Optimization of Modular Production Units. INDIN (2019)
Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung
Generalized Dilation Neural Networks. CoRR (2019)
Fernando Arévalo, Cristhian Tito, Mochammad Rizky Diprasetya, Andreas Schwung
Fault Detection Assessment using an extended FMEA and a Rule-based Expert System. INDIN (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)
Jan Niclas Reimann, Andreas Schwung
Neural Logic Rule Layers. CoRR (2019)
Dorothea Schwung, Madhav Modali, Andreas Schwung
Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning. SMC (2019)
Fabian Westbrink, Andreas Schwung
Virtual Commissioning Approach based on the Discrete Element Method. INDIN (2018)
Fernando Arévalo, Enzo Oestanto, Andreas Schwung
Development of a Mobile App for Fault Detection Assessment based on Information Fusion. INDIN (2018)
Fernando Arévalo, Juan Rernenteria, Andreas Schwung
Fault Detection Assessment Architectures based on Classification Methods and Information Fusion. ETFA (2018)
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)
Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach. IEEE Conf. on Intelligent Systems (2018)
Fernando Arévalo, Mochammad Rizky Diprasetya, Andreas Schwung
A Cloud-based Architecture for Condition Monitoring based on Machine Learning. INDIN (2018)
Dorothea Schwung, Andreas Schwung, Steven X. Ding
On-line Energy Optimization of Hybrid Production Systems Using Actor-Critic Reinforcement Learning. IEEE Conf. on Intelligent Systems (2018)
Dorothea Schwung, Tim Kempe, Andreas Schwung, Steven X. Ding
Self-optimization of energy consumption in complex bulk good processes using reinforcement learning. INDIN (2017)
Andreas Schwung, Alexander Elbel, Dorothea Schwung
System reconfiguration of modular production units using a SOA-based control structure. INDIN (2017)
Dorothea Schwung, Fabian Csaplar, Andreas Schwung, Steven X. Ding
An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation. INDIN (2017)
Philipp Kemper, Philipp Rehlaender, Ulf Witkowski, Andreas Schwung
Competitive Evaluation of Energy Management Strategies for Hybrid Electric Vehicle Based on Real World Driving. EMS (2017)
Shane Dominic, Yannik Lohr, Andreas Schwung, Steven X. Ding
PLC-Based Real-Time Realization of Flatness-Based Feedforward Control for Industrial Compression Systems. IEEE Trans. Ind. Electron. 64 (2) (2017)
Gavneet Singh Chadha, Andreas Schwung
Comparison of deep neural network architectures for fault detection in Tennessee Eastman process. ETFA (2017)
Philipp Rehlaender, Philipp Kemper, Andreas Schwung, Ulf Witkowski
A Novel Predictive Energy Management System. EMS (2017)
Fernando Arévalo, Tin Nguyen, Andreas Schwung
Assistance system for a bulk good system based on information fusion. ETFA (2017)
Andreas Schwung, M. Beck, Jürgen Adamy
Fault diagnosis of dynamical systems using recurrent fuzzy systems with application to an electrohydraulic servo axis. Fuzzy Sets Syst. 277 (2015)
Andreas Schwung
Cyber-physical modeling of compression systems using hybrid automata. CASE (2015)
Andreas Schwung, Patrik Berner, Semir Osmic, Michael Jost, Martin Mönnigmann
Nonlinear decoupling control of compressor systems for fast load transients in combined cycle power plants. CCA (2014)
Semir Osmic, Marc Oliver Berner, Andreas Schwung, Michael Jost, Martin Mönnigmann
Flatness-based feedforward control for fast operating point transitions of compressor systems. CCA (2014)
Stefan Gering, Andreas Schwung, Thomas Gussner, Jürgen Adamy
Sum of squares approaches for control of continuous-time recurrent fuzzy systems. MED (2013)

Andreas Schwung.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Andreas Schwung