Andreas Schwung

South Westphalia University of Applied Sciences

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Articles (21)

Collaborators (3)

Stefan Lier

David Orlando Salazar Torres

South Westphalia University of Applied Sciences

Steven X. Ding

Universität Duisburg-Essen

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Andreas Schwung

Research Interests

Explore related searches

Contact this professor

Articles (21)

Collaborators (3)

Stefan Lier

David Orlando Salazar Torres

Steven X. Ding

Make your next move.

Andreas Schwung

Research Interests

Explore related searches

Contact this professor

Articles (21)

Resampling Multi-Resolution Signals Using the Bag of Functions Framework: Addressing Variable Sampling Rates in Time Series Data

Flexible Manufacturing Systems intralogistics: Dynamic optimization of AGVs and tool sharing using Colored-Timed Petri Nets and actor–critic RL with actions masking

Planning of Logistic Networks with Automated Transport Drones: A Systematic Review of Application Areas, Planning Approaches, and System Performance

Learnable Petri Net Neural Network Using Max-Plus Algebra

Performance benchmarking of multimodal data-driven approaches in industrial settings

Toward More Effective Bag-of-Functions Architectures: Exploring Initialization and Sparse Parameter Representation

Automated leaders and followers selection in Stackelberg games for modular manufacturing systems

ITF-VAE: Variational Auto-Encoder Using Interpretable Continuous Time Series Features

Time series compression using quaternion valued neural networks and quaternion backpropagation

Continual learning by gradient monitoring for remaining useful lifetime estimation

Anomaly Detection Using Ensemble Classification and Evidence Theory

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

Gradient Monitored Reinforcement Learning

Graph neural networks-based scheduler for production planning problems using reinforcement learning

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

Anomaly Detection Using Ensemble Classification and Evidence Theory

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

Anwendung von Attention Mechanismen auf Neurale Regelbasierte Netze,Adopting attention-mechanisms for Neural Logic Rule Layers

Contrastive learning based self-supervised time-series analysis

MLPro — An integrative middleware framework for standardized machine learning tasks in Python[Formula presented]

Neural logic rule layers

Collaborators (3)

Stefan Lier

David Orlando Salazar Torres

Steven X. Ding

Make your next move.