Papers matching “deep learning training data” 97
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Optimized Pulse Patterns Design for Electrical Drives: A Reinforcement Learning Approach2026 IEEE Open Journal of the Industrial Electronics Society article Engineering Electric Motor Design and Analysis Open access
Mohammad Abu-Ali, Felix Berkel, Maximilian Manderla, Markus Pietschner, Daniel Görges
1citations -
Navigating the Trade-Offs: A Quantitative Analysis of Reinforcement Learning Reward Functions for Autonomous Maritime Collision Avoidance2025 Journal of Marine Science and Engineering article Engineering Maritime Navigation and Safety Open access
Björn Krautwig, Dominik Wans, Li Li, Till Temmen, Lucas Koch, Markus Eisenbarth, +1 more
6citations -
Navigating the Trade-Offs: A Quantitative Analysis of Reinforcement Learning Reward Functions for Autonomous Maritime Collision Avoidance2025 Journal of Marine Science and Engineering article Engineering Maritime Navigation and Safety Open access
Björn Krautwig, Dominik Wans, Li Li, Till Temmen, Lucas Koch, Markus Eisenbarth, +1 more
0citations -
A gap-filling method for room temperature data based on autoencoder neural networks2021 Building Simulation Conference proceedings conference-paper Engineering Building Energy and Comfort Optimization Open access
Romana Markovic, Jérôme Frisch, Andreas Wagner, Francesco Causone, Christoph van Treeck
5citations -
Interacting Federated and Transfer Learning-Aided CSI Prediction for Intelligent Cellular Networks2023 IEEE Transactions on Vehicular Technology article Engineering Advanced MIMO Systems Optimization cited by 1 patent
Jinlong Sun, Yibin Zhang, Guan Gui, Haitao Zhao, Haris Gacanin, Hikmet Sari
13citations -
Exploiting Generative Models for Performance Predictions of 3D Car Designs2021 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Engineering 3D Shape Modeling and Analysis Open access cited by 3 patents
Sneha Saha, Thiago Rios, Leandro Lei Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, +3 more
11citations -
A Study on Data Augmentation Techniques for Visual Defect Detection in Manufacturing2023 Technologien für die intelligente Automation book-chapter Engineering Industrial Vision Systems and Defect Detection Open access
Lars Leyendecker, Thorben Werner, Maximilian Motz, Robert Heinrich Schmitt
4citations -
Prediction of the microstructure of cold-compacted Astaloy 85Mo with deep generative models2024 Computational Materials Science article Engineering Powder Metallurgy Techniques and Materials Open access
Oliver Schenk, Marco Becker, Yuanbin Deng, Philipp Niemietz, Thomas Bergs, Christoph Broeckmann
6citations -
Introducing a Deep Neural Network-Based Model Predictive Control Framework for Rapid Controller Implementation2024 Proceedings of the ... American Control Conference/Proceedings of the American Control Conference conference-paper Engineering Advanced Control Systems Optimization Open access
Alexander Winkler, Julian Bedei, Patrick Schaber, Stefan Pischinger, Jakob Andert, Charles Robert Koch
14citations