Papers matching “deep neural network training” 51
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Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network2023 steel research international article Engineering Microstructure and Mechanical Properties of Steels Open access
Niklas C. Fehlemann, Ana Lia Suarez Aguilera, Stefan Sandfeld, Maximilian Neite, David Lenz, Markus Könemann, +1 more
9citations -
Downlink CSI Feedback Algorithm With Deep Transfer Learning for FDD Massive MIMO Systems2021 IEEE Transactions on Cognitive Communications and Networking article Engineering Advanced MIMO Systems Optimization cited by 1 patent
Jun Zeng, Jinlong Sun, Guan Gui, Bamidele Adebisi, Tomoaki Otsuki Ohtsuki, Haris Gacanin, +1 more
81citations -
Deep convolutional neural networks for surface coal mines determination from sentinel-2 images2021 European Journal of Remote Sensing article Engineering Remote-Sensing Image Classification Open access
Logambal Madhuanand, Pankaj Sadavarte, Antoon J. H. Visschedijk, Hugo Denier van der Gon, Ilse Aben, Frank Osei
32citations -
MobileCrack: Object Classification in Asphalt Pavements Using an Adaptive Lightweight Deep Learning2020 Journal of Transportation Engineering Part B Pavements article Engineering Infrastructure Maintenance and Monitoring
Yue Hou, Qiuhan Li, Qiang Han, Bo Peng, Linbing Wang, Xingyu Gu, +1 more
59citations -
Automatic detection of fatigue crack paths using digital image correlation and convolutional neural networks2021 Fatigue & Fracture of Engineering Materials & Structures article Engineering Fatigue and fracture mechanics Open access cited by 6 patents
Tobias Strohmann, Denis Starostin‐Penner, Eric Breitbarth, Guillermo Carlos Requena
67citations -
Deep Regularized Waveform Learning for Beam Prediction With Limited Samples in Non-Cooperative mmWave Systems2023 IEEE Transactions on Vehicular Technology article Engineering Millimeter-Wave Propagation and Modeling
Hao Huang, Guan Gui, Haris Gacanin, Chau Yuen, Hikmet Sari, Fumiyuki Adachi
30citations -
Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning2020 Journal of Imaging article Engineering Remote-Sensing Image Classification Open access cited by 1 patent
Mathé T. Zeegers, Daniël M. Pelt, Tristan van Leeuwen, Robert van Liere, Kees Joost Batenburg
11citations -
Auxiliaries’ power and energy demand prediction of battery electric vehicles using system identification and deep learning2023 IET Intelligent Transport Systems article Engineering Electric and Hybrid Vehicle Technologies Open access
Lukas Schäfers, Kai Franke, René Savelsberg, Stefan Pischinger
8citations -
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