Andreas Schwung

According to our database, Andreas Schwung authored at least 93 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ITF-GAN: Synthetic time series dataset generation and manipulation by interpretable features.

Hendrik Klopries, Andreas Schwung

Knowl. Based Syst., January, 2024

Time Series Compression using Quaternion Valued Neural Networks and Quaternion Backpropagation.

Johannes Pöppelbaum, Andreas Schwung

CoRR, 2024

Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning.

Sofiene Lassoued, Andreas Schwung

CoRR, 2024

Adaptive Information Fusion Using Evidence Theory and Uncertainty Quantification.

Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung

IEEE Access, 2024

2023

PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies.

Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding

IEEE Trans. Cybern., September, 2023

Gradient Monitored Reinforcement Learning.

Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Extracting interpretable features for time series analysis: A Bag-of-Functions approach.

Hendrik Klopries, Andreas Schwung

Expert Syst. Appl., July, 2023

MLPro-MPPS - A high-performance simulation framework for customizable production systems.

Steve Yuwono, Marlon Löppenberg, Detlef Arend, Mochammad Rizky Diprasetya, Andreas Schwung

Softw. Impacts, May, 2023

Information Fusion for Assistance Systems in Production Assessment.

Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung

CoRR, 2023

Anomaly Detection Using Ensemble Classification and Evidence Theory.

Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung

IEEE Access, 2023

Stability-Guaranteed Control Systems with Min-Max Constraints and Machine Learning-Based Virtual Sensors.

Eric Hilgert, Andreas Schwung

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.

Steve Yuwono, Andreas Schwung

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Improving Cross-Domain Semi-Supervised Object Detection with Adversarial Domain Adaptation.

Maximilian Menke, Thomas Wenzel, Andreas Schwung

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Bag-of-Functions Denoising: Extracting main components in time series.

Hendrik Klopries, Andreas Schwung

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.

Marlon Löppenberg, Andreas Schwung

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation.

Mochammad Rizky Diprasetya, Steve Yuwono, Marlon Löppenberg, Andreas Schwung

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Deep Multimodal Fusion with Corrupted Spatio-Temporal Data Using Fuzzy Regularization.

Diyar Altinses, Andreas Schwung

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.

Diyar Altinses, Andreas Schwung

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Flexible Activation Bag: Learning Activation Functions in Autoencoder Networks.

Hendrik Klopries, Andreas Schwung

Proceedings of the IEEE International Conference on Industrial Technology, 2023

A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems.

Steve Yuwono, Andreas Schwung

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.

Detlef Arend, Mochammad Rizky Diprasetya, Steve Yuwono, Andreas Schwung

Softw. Impacts, December, 2022

Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach.

Dorothea Schwung, Andreas Schwung, Steven X. Ding

IEEE Trans. Cybern., 2022

Neural logic rule layers.

Jan Niclas Reimann, Andreas Schwung, Steven X. Ding

Inf. Sci., 2022

Quaternion Backpropagation.

Johannes Pöppelbaum, Andreas Schwung

CoRR, 2022

AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection.

Maximilian Menke, Thomas Wenzel, Andreas Schwung

CoRR, 2022

Adopting attention-mechanisms for Neural Logic Rule Layers.

Jan Niclas Reimann, Andreas Schwung, Steven X. Ding

Autom., 2022

Contrastive learning based self-supervised time-series analysis.

Johannes Pöppelbaum, Gavneet Singh Chadha, Andreas Schwung

Appl. Soft Comput., 2022

Predicting Rigid Body Dynamics Using Dual Quaternion Recurrent Neural Networks With Quaternion Attention.

Johannes Pöppelbaum, Andreas Schwung

IEEE Access, 2022

Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation.

Gavneet Singh Chadha, Sayed Rafay Bin Shah, Andreas Schwung, Steven X. Ding

IEEE Access, 2022

Production Assessment Using a Knowledge Transfer Framework and Evidence Theory.

Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung

IEEE Access, 2022

Improving GAN-based Domain Adaptation for Object Detection.

Maximilian Menke, Thomas Wenzel, Andreas Schwung

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.

Steve Yuwono, Andreas Schwung, Dorothea Schwung

Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Curriculum Learning in Peristaltic Sortation Machine.

Mohammed Sharafath Abdul Hameed, Venkata Harshit Koneru, Johannes Pöppelbaum, Andreas Schwung

Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks.

Jan Niclas Reimann, Bhargav Bharat Shukla, Andreas Schwung, Steven X. Ding

Proceedings of the Pattern Recognition Applications and Methods, 2022

Homogeneous Transformation Matrix Based Neural Network for Model Based Reinforcement Learning on Robot Manipulator.

Mochammad Rizky Diprasetya, Andreas Schwung

Proceedings of the IEEE International Conference on Industrial Technology, 2022

Synthetic time series dataset generation for unsupervised autoencoders.

Hendrik Klopries, David Orlando Salazar Torres, Andreas Schwung

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021

Deep Convolutional Clustering-Based Time Series Anomaly Detection.

Gavneet Singh Chadha, Intekhab Islam, Andreas Schwung, Steven X. Ding

Sensors, 2021

A Sequence-to-Sequence Approach for Remaining Useful Lifetime Estimation Using Attention-augmented Bidirectional LSTM.

Sayed Rafay Bin Shah, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding

Intell. Syst. Appl., 2021

Generalized dilation convolutional neural networks for remaining useful lifetime estimation.

Gavneet Singh Chadha, Utkarsh Panara, Andreas Schwung, Steven X. Ding

Neurocomputing, 2021

Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning.

Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding

Comput. Chem. Eng., 2021

Monitoring and Forecasting of Air Emissions with IoT Measuring Stations and a SaaS Cloud Application.

Fernando Arévalo N., M. Tahasanul Ibrahim, Rizky M. Diprasetya, Omar Otoniel Flores, Andreas Schwung

Proceedings of the 2nd International Conference on Societal Automation, 2021

Generalized Dilation Structures in Convolutional Neural Networks.

Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

Disease Prediction Based on Individual's Medical History Using CNN.

Monica Krishnamoorthy, Mohammed Sharafath Abdul Hameed, Thomas Kopinski, Andreas Schwung

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Rigid Body Movement Prediction Using Dual Quaternion Recurrent Neural Networks.

Andreas Schwung, Johannes Pöppelbaum, Pradeep C. Nutakki

Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

Curiosity Based RL on Robot Manufacturing Cell.

Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung

Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

Knowledge Internalization using Virtual Training on the HoloLens.

Fernando Arévalo N., Christian Alison M. Piolo, Joachim Arens, Andreas Schwung, Matthias Hermes

Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

2020

Curiosity Based Reinforcement Learning on Robot Manufacturing Cell.

Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung

CoRR, 2020

Reinforcement Learning on Job Shop Scheduling Problems Using Graph Networks.

Mohammed Sharafath Abdul Hameed, Andreas Schwung

CoRR, 2020

Data-based control of Peristaltic Sortation Machines using Discrete Element Method.

Fabian Westbrink, Andreas Schwung, Steven X. Ding

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Interactive Visual Procedure using an extended FMEA and Mixed-Reality.

Fernando Arévalo, Dimitri Sunaringtyas, Cristhian Tito, Christian Piolo, Andreas Schwung

Proceedings of the 2020 IEEE International Conference on Industrial Technology, 2020

Permutation Learning in Convolutional Neural Networks for Time-Series Analysis.

Gavneet Singh Chadha, Jinwoo Kim, Andreas Schwung, Steven X. Ding

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Remaining Useful Lifetime Estimation with Sobolev Training.

Gavneet Singh Chadha, S. M. Nazmus Sakeib, Andreas Schwung

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

How to get a Parcel surfing.

Fabian Westbrink, Andreas Schwung, Steven X. Ding

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020

2019

Neural Logic Rule Layers.

Jan Niclas Reimann, Andreas Schwung

CoRR, 2019

Learning the Non-linearity in Convolutional Neural Networks.

Gavneet Singh Chadha, Andreas Schwung

CoRR, 2019

Generalized Dilation Neural Networks.

Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung

CoRR, 2019

Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning.

Dorothea Schwung, Madhav Modali, Andreas Schwung

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Traffic Sign Detection Using R-CNN.

Philipp Rehlaender, Maik Schroeer, Gavneet Singh Chadha, Andreas Schwung

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Regularizing Neural Networks with Gradient Monitoring.

Gavneet Singh Chadha, Elnaz Meydani, Andreas Schwung

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches.

Andreas Schwung, Dorothea Schwung, Mohammed Sharafath Abdul Hameed

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Potential Game based Distributed Optimization of Modular Production Units.

Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes.

Gavneet Singh Chadha, Arfyan Rabbani, Andreas Schwung

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Fault Detection Assessment using an extended FMEA and a Rule-based Expert System.

Fernando Arévalo, Cristhian Tito, Mochammad Rizky Diprasetya, Andreas Schwung

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Time Series based Fault Detection in Industrial Processes using Convolutional Neural Networks.

Gavneet Singh Chadha, Monica Krishnamoorthy, Andreas Schwung

Proceedings of the IECON 2019, 2019

Design approach and simulation of a peristaltic sortation machine.

Fabian Westbrink, Roshin Sivanandan, Thomas Schütte, Andreas Schwung

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.

Dorothea Schwung, Andreas Schwung, Steven X. Ding

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach.

Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

Virtual Commissioning Approach based on the Discrete Element Method.

Fabian Westbrink, Andreas Schwung

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Development of a Mobile App for Fault Detection Assessment based on Information Fusion.

Fernando Arévalo, Enzo Oestanto, Andreas Schwung

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

A Cloud-based Architecture for Condition Monitoring based on Machine Learning.

Fernando Arévalo, Mochammad Rizky Diprasetya, Andreas Schwung

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Integrated IPC for data-driven fault detection.

Fabian Westbrink, Gavneet Singh Chadha, Andreas Schwung

Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

Optimal dosing of bulk material using mass-flow estimation and DEM simulation.

Gavneet Singh Chadha, Fabian Westbrink, Thomas Schütte, Andreas Schwung

Proceedings of the IEEE International Conference on Industrial Technology, 2018

Fault Detection Assessment Architectures based on Classification Methods and Information Fusion.

Fernando Arévalo, Juan Rernenteria, Andreas Schwung

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.

Shane Dominic, Yannik Lohr, Andreas Schwung, Steven X. Ding

IEEE Trans. Ind. Electron., 2017

Self-optimization of energy consumption in complex bulk good processes using reinforcement learning.

Dorothea Schwung, Tim Kempe, Andreas Schwung, Steven X. Ding

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

System reconfiguration of modular production units using a SOA-based control structure.

Andreas Schwung, Alexander Elbel, Dorothea Schwung

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.

Dorothea Schwung, Fabian Csaplar, Andreas Schwung, Steven X. Ding

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Comparison of deep neural network architectures for fault detection in Tennessee Eastman process.

Gavneet Singh Chadha, Andreas Schwung

Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017

Assistance system for a bulk good system based on information fusion.

Fernando Arévalo, Tin Nguyen, Andreas Schwung

Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017

A Novel Predictive Energy Management System.

Philipp Rehlaender, Philipp Kemper, Andreas Schwung, Ulf Witkowski

Proceedings of the 2017 European Modelling Symposium (EMS), 2017

Competitive Evaluation of Energy Management Strategies for Hybrid Electric Vehicle Based on Real World Driving.

Philipp Kemper, Philipp Rehlaender, Ulf Witkowski, Andreas Schwung

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.

Andreas Schwung, M. Beck, Jürgen Adamy

Fuzzy Sets Syst., 2015

Cyber-physical modeling of compression systems using hybrid automata.

Andreas Schwung

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.

Andreas Schwung, Patrik Berner, Semir Osmic, Michael Jost, Martin Mönnigmann

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

Flatness-based feedforward control for fast operating point transitions of compressor systems.

Semir Osmic, Marc Oliver Berner, Andreas Schwung, Michael Jost, Martin Mönnigmann

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013

Sum of squares approaches for control of continuous-time recurrent fuzzy systems.

Stefan Gering, Andreas Schwung, Thomas Gussner, Jürgen Adamy

Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013

2012

Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization.

Andreas Schwung, Jürgen Adamy

Fuzzy Sets Syst., 2012

2011

Stability Analysis of Recurrent Fuzzy Systems: A Hybrid System and SOS Approach.

Andreas Schwung, Thomas Gussner, Jürgen Adamy

IEEE Trans. Fuzzy Syst., 2011

2010

Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems.

Jürgen Adamy, Andreas Schwung

Fuzzy Sets Syst., 2010

Anwendung zeitdiskreter rekurrenter Fuzzy-Systeme zur Fehlerdiagnose (Fault Diagnosis employing Recurrent Fuzzy Systems).

Andreas Schwung, Andreas Ortseifen, Jürgen Adamy

Autom., 2010

Nonlinear system modeling via hybrid system representation of recurrent fuzzy systems.

Andreas Schwung, Jürgen Adamy

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).

Jürgen Adamy, Andreas Schwung

Autom., 2009

Stability analysis of continuous-time recurrent fuzzy systems.

Andreas Schwung, Thomas Gussner, Jürgen Adamy

Proceedings of the FUZZ-IEEE 2009, 2009