Papers matching “deep learning training data” 641
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UTILE-Pore: Deep Learning-Enabled 3D Analysis of Porous Materials in Polymer Electrolyte Membrane-Based Energy Devices2025 Journal of The Electrochemical Society article Engineering Fuel Cells and Related Materials Open access
André Colliard-Granero, Salvatore Ranieri, Aimy Bazylak, Tobias Morawietz, K. Andreas Friedrich, Jasna Janković, +3 more
5citations -
Pooled two-cohort MRI body composition phenotyping with open-source deep learning2026 Communications Medicine article Computer Science Medical Image Segmentation Techniques Open access
Christian J. Mertens, Hartmut Häntze, Sebastian Ziegelmayer, Jakob Nikolas Kather, Daniel Truhn, Su Hwan Kim, +30 more
0citations -
Unbinned deep learning jet substructure measurement in high Q2 ep collisions at HERA2023 Physics Letters B article Physics and Astronomy Particle physics theoretical and experimental studies Open access
V. Andreev, M. Arratia, A. Baghdasaryan, A. Baty, K. Begzsuren, A. E. Bolz, +93 more
21citations -
DNN2: A hyper-parameter reinforcement learning game for self-design of neural network based elasto-plastic constitutive descriptions2021 Computers & Structures article Materials Science Machine Learning in Materials Science Open access
Alexander Fuchs, Yousef Heider, Kun Wang, WaiChing Sun, Michael Kaliske
58citations -
Edge Device Identification Based on Federated Learning and Network Traffic Feature Engineering2021 IEEE Transactions on Cognitive Communications and Networking article Computer Science Internet Traffic Analysis and Secure E-voting cited by 1 patent
Zhimin He, Jie Yin, Yu Wang, Guan Gui, Bamidele Adebisi, Tomoaki Otsuki Ohtsuki, +2 more
57citations -
CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism2023 IEEE International Conference on High Performance Computing, Data, and Analytics conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Henk Dreuning, Kees Verstoep, Henri E. Bal, Rob V. van Nieuwpoort
0citations -
Introducing ImageGrains 2.0 for improved grain size and shape measurements in 2D and 3D data from images of sediment2026 EGU General Assembly Conference Abstracts conference-abstract Earth and Planetary Sciences Geological formations and processes Open access
David Mair, Guillaume Witz, Ariel Do Prado, Philippos Garefalakis, Amanda Wild, Fanny Ville, +9 more
0citations -
Generation of Synthetic Data for DL-based Defect Detection in the Automotive Context2025 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Engineering Industrial Vision Systems and Defect Detection
Alexander Moriz, Dominik Wolfschläger, Miguel Suchodolak, Achim Byl, Friedrich Wolf, Kai Wege, +2 more
1citations -
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses2023 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics
Hongzhuo Liang, Cong Lin, Jianzhi Lyu, Pingfa Feng, Jianwei Zhang
25citations -
Newton versus the machine: solving the chaotic three-body problem using deep neural networks2020 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Model Reduction and Neural Networks Open access cited by 1 patent
Philip G. Breen, Christopher N. Foley, Tjarda Boekholt, Simon Portegies Zwart
97citations