Papers matching “deep learning training data” 641
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Transfer Learning for Semi-Supervised Automatic Modulation Classification in ZF-MIMO Systems2020 IEEE Journal on Emerging and Selected Topics in Circuits and Systems article Computer Science Wireless Signal Modulation Classification
Yu Wang, Guan Gui, Haris Gacanin, Tomoaki Otsuki Ohtsuki, Hikmet Sari, Fumiyuki Adachi
115citations -
A Lightweight Decentralized-Learning-Based Automatic Modulation Classification Method for Resource-Constrained Edge Devices2022 IEEE Internet of Things Journal article Computer Science Wireless Signal Modulation Classification
Biao Dong, Yuchao Liu, Guan Gui, Xue Gang Fu, Heng Dong, Bamidele Adebisi, +2 more
52citations -
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck, +9 more
12citations -
3D fluorescence microscopy data synthesis for segmentation and benchmarking2021 PLoS ONE article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access cited by 1 patent
Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow, Simon Koppers, Johannes Stegmaier
23citations -
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space2024 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access
Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering
8citations -
Transferable fast calorimeter shower generation via multi-geometry pre-training2026 Journal of Instrumentation article Physics and Astronomy Particle Detector Development and Performance Open access
Thorsten Buss, Henry Day-Hall, Frank Gaede, Gregor Kasieczka, Katja Krüger, Peter McKeown, +1 more
0citations -
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 -
Automatic Pulmonary Function Estimation From Chest CT Scans Using Deep Regression Neural Networks: The Relation Between Structure and Function in Systemic Sclerosis
Jingnan Jia, Emiel R. Marges, Jeska Kirsten De Vries-Bouwstra, Maarten K. Ninaber, Lucia J.M. Kroft, Anne A. Schouffoer, +2 more
6citations