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Papers matching “deep neural network training” 86

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Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network
2023 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

9

citations
End-to-End Deep Neural Network Based Nonlinear Model Predictive Control: Experimental Implementation on Diesel Engine Emission Control
2022 Energies article Engineering Advanced Control Systems Optimization Open access

Armin Norouzi, Alexander Winkler, Jakub McNally, Eugen Nuss, Dirk Abel, Mahdi Shahbakhti, +2 more

18

citations
Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine
2025 Energies article Engineering Advanced Control Systems Optimization Open access

Alexander Winkler, Pranav Shah, Katrin Baumgärtner, David C. Gordon, Jakob Andert

4

citations
Introducing a Deep Neural Network-Based Model Predictive Control Framework for Rapid Controller Implementation
2024 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

14

citations
Non-destructive evaluation of the friction stir welding process, generalizing a deep neural defect detection network to identify internal weld defects across different aluminum alloys
2023 Welding in the World article Engineering Advanced Welding Techniques Analysis Open access

Pascal Rabe, Uwe Reisgen, Alexander Schiebahn

34

citations
Using Synthesized IMU Data to Train a Long-Short Term Memory-based Neural Network for Unobtrusive Gait Analysis with a Sparse Sensor Setup
2022 Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society conference-paper Engineering Gait Recognition and Analysis

Markus Lueken, Steffen K. Leonhardt, Chuong Ngo

6

citations
Training Spiking Neural Networks Using Lessons From Deep Learning
2023 Proceedings of the IEEE article Engineering Advanced Memory and Neural Computing Open access

Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, +3 more

787

citations
Low-overhead fault tolerance for safety-critical neural network applications
2020 RWTH Publications (RWTH Aachen) dissertation Engineering Radiation Effects in Electronics Open access

Christoph Schorn

0

citations
Crack Size Measurements on Fracture Surface Images Using Deep Neural Networks for Semantic Segmentation
2023 conference-paper Engineering Fatigue and fracture mechanics

Johannes Tlatlik, Sebastian Münstermann

1

citations
Downlink CSI Feedback Algorithm With Deep Transfer Learning for FDD Massive MIMO Systems
2021 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

81

citations
Graph Neural Network Encoder for Layout Planning and Scheduling in Line-less Mobile Assembly Systems
2023 Procedia CIRP article Engineering Scheduling and Optimization Algorithms Open access

Lea Kaven, Amon Göppert, Robert Heinrich Schmitt

0

citations
Deep Transfer Learning for 5G Massive MIMO Downlink CSI Feedback
2021 IEEE Wireless Communications and Networking Conference conference-paper Engineering Advanced MIMO Systems Optimization cited by 4 patents

Jun Zeng, Zhengran He, Jinlong Sun, Bamidele Adebisi, Haris Gacanin, Guan Gui, +1 more

8

citations
Constraint enforcing for learning the ACOPF using neural networks
2025 IET conference proceedings. conference-paper Engineering Optimal Power Flow Distribution

Sarra Bouchkati, Philipp Lutat, Luis Böttcher, Andreas Ulbig

0

citations
Shape analysis of training data for neural networks in Electrical Impedance Tomography
2023 Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society conference-paper Engineering Electrical and Bioimpedance Tomography

Jöran Rixen, Benedikt Eliasson, Simon Lyra, Steffen K. Leonhardt

0

citations
Deep convolutional neural networks for surface coal mines determination from sentinel-2 images
2021 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

32

citations
Multi-Task Neural Network for Position Estimation in Large-Scale Indoor Environments
2022 IEEE Access article Engineering Indoor and Outdoor Localization Technologies Open access cited by 1 patent

Marius Laska, Jörg Blankenbach

33

citations
Wireless channel modeling and estimation by artificial neural networks; 1. Auflage
2020 RWTH Publications (RWTH Aachen) dissertation Engineering Millimeter-Wave Propagation and Modeling Open access

0

citations
Compressive Sensing and Neural Networks from a Statistical Learning Perspective
2020 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Arash Behboodi, Holger Rauhut, Ekkehard Schnoor

1

citations
Deep Behaviour Cloning of Model Predictive Control for Real-Time Operation of a Hydrogen-Diesel Dual-Fuel Engine
2026 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Alexander Winkler, Neeraj Naduvath Mana, David C. Gordon, Jakob Andert

0

citations
Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping
2022 Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture conference-paper Engineering Advanced Memory and Neural Computing

Sonali Singh, Anup Sarma, Sen Kai Lu, Abhronil Sengupta, Mahmut Kandemir, Emre Neftci, +2 more

13

citations
MobileCrack: Object Classification in Asphalt Pavements Using an Adaptive Lightweight Deep Learning
2020 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

59

citations
Lessons Learned from a Field Study on Deep-Learning-Based Model Predictive Control for Optimizing the Operation of Façade Ventilation Units
2025 Building Simulation Conference proceedings conference-paper Engineering Building Energy and Comfort Optimization Open access

Clara-Larissa Lorenz, Oliver Abele, Jérôme Frisch, Christoph van Treeck

0

citations
Automatic detection of fatigue crack paths using digital image correlation and convolutional neural networks
2021 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

67

citations
Utilization of deep autoencoders for improving semantic segmentation of 3D point clouds
2025 RWTH Publications (RWTH Aachen) conference-paper Engineering 3D Shape Modeling and Analysis Open access

Marcel Aubart, Hristo Vassilev Hristo Vassilev

0

citations
Deep Regularized Waveform Learning for Beam Prediction With Limited Samples in Non-Cooperative mmWave Systems
2023 IEEE Transactions on Vehicular Technology article Engineering Millimeter-Wave Propagation and Modeling

Hao Huang, Guan Gui, Haris Gacanin, Chau Yuen, Hikmet Sari, Fumiyuki Adachi

30

citations