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Papers matching “deep learning training” 160

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A Collaborative Multi-Agent Deep Reinforcement Learning-Based Wireless Power Allocation With Centralized Training and Decentralized Execution
2024 IEEE Transactions on Communications article Engineering Advanced Wireless Network Optimization

Amna Kopic, Erma Perenda, Haris Gacanin

34

citations
Prediction of Fault Rock Permeability With Deep Learning: Training Data from Transfer Samples of Fault Cores
2022 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis

Joyce Schmatz, Jop Klaver, Eva Wellmann, Mingming Jiang, Wolf- Gang Kraus, Simon Freitag, +2 more

0

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
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
A tomographic workflow to enable deep learning for X-ray based foreign object detection
2022 Expert Systems with Applications article Engineering Industrial Vision Systems and Defect Detection Open access cited by 1 patent

Mathé T. Zeegers, Tristan van Leeuwen, Daniël M. Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg

6

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
On Effectiveness of Exploration Strategies in Deep Reinforcement Learning for Power Allocation in Multi-Carrier Wireless Systems
2023 IEEE International Conference on Communications workshops conference-paper Engineering Advanced Wireless Network Optimization

Amna Kopic, Kenan Turbić, Haris Gacanin

3

citations
Monitoring data-driven Reinforcement Learning controller training: A comparative study of different training strategies for a real-world energy system
2021 Energy and Buildings article Engineering Building Energy and Comfort Optimization

Thomas Schreiber, Christoph Netsch, Marc Baranski, Dirk Müller

22

citations
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
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
Sheet metal localization using deep learning and synthetic data
2025 Journal of Intelligent Manufacturing article Engineering Industrial Vision Systems and Defect Detection Open access

Hannes Behnen, Guillem Boada-Gardenyes, Robert Heinrich Schmitt, Marc Teschner, Willi Pönitz

3

citations
A Study on Deep Learning for Latency Constraint Applications in Beyond 5G Wireless Systems
2020 IEEE Access article Engineering Advanced Wireless Network Optimization Open access

Suren Sritharan, Harshana Weligampola, Haris Gacanin

22

citations
Unveiling the Effects of Experience Replay on Deep Reinforcement Learning-based Power Allocation in Wireless Networks
2024 IEEE Wireless Communications and Networking Conference conference-paper Engineering Advanced Wireless Network Optimization

Amna Kopic, Erma Perenda, Haris Gacanin

1

citations
LiDAR-based mmwave beam prediction: a hardware-aware trade-off analysis of classical machine learning, deep learning, and hybrid approaches
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Millimeter-Wave Propagation and Modeling Open access

Barış Sayitoğlu

0

citations
A New Deep Reinforcement Learning Algorithm for the Online Stochastic Profitable Tour Problem
2022 conference-paper Engineering Vehicle Routing Optimization Methods

Jonas Prünte

2

citations
Successful Pass Schedule Design in Open-Die Forging Using Double Deep Q-Learning
2021 Processes article Engineering Metal Forming Simulation Techniques Open access cited by 1 patent

Niklas Reinisch, Fridtjof Rudolph, David Benjamin Bailly, Gerhard Hirt

17

citations
Cloud-based health-conscious energy management of hybrid battery systems in electric vehicles with deep reinforcement learning
2021 Applied Energy article Engineering Electric and Hybrid Vehicle Technologies Open access

Weihan Li, Han Cui, Thomas Nemeth, Jonathan Jansen, Cem Ünlübayir, Zhongbao Wei, +6 more

108

citations
The application of machine learning-based energy management strategy in a multi-mode plug-in hybrid electric vehicle, part II: Deep deterministic policy gradient algorithm design for electric mode
2023 Energy article Engineering Electric and Hybrid Vehicle Technologies Open access

Jiageng Ruan, Changcheng Wu, Zhaowen Liang, Kai Liu, Bin Li, Weihan Li, +1 more

56

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
Human-in-the-loop control strategy for IoT-based smart thermostats with Deep Reinforcement Learning
2025 Energy and AI article Engineering Building Energy and Comfort Optimization Open access

Payam Fatehi Karjou, Fabian Stupperich, Phillip Stoffel, Dirk Müller

7

citations
Compensating Environmental Disturbances in Maritime Path Following Using Deep Reinforcement Learning
2026 Journal of Marine Science and Engineering article Engineering Maritime Navigation and Safety Open access

Björn Krautwig, Dominik Wans, Till Temmen, Tobias Brinkmann, Sung-Yong Lee, Daehyuk Kim, +1 more

1

citations
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
2026 arXiv (Cornell University) preprint Engineering Energy Load and Power Forecasting Open access

Runyao Yu, Derek W. Bunn, Julia Lin, Jochen Stiasny, Fabian Leimgruber, Tara Esterl, +5 more

0

citations
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
2026 arXiv (Cornell University) preprint Engineering Energy Load and Power Forecasting Open access

Runyao Yu, Derek W. Bunn, Julia Lin, Jochen Stiasny, Tara Esterl, Yuchen Tao, +4 more

0

citations
Physical simulation and deep learning using particle-based representations
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Fluid Dynamics Simulations and Interactions Open access

Stefan Rhys Jeske

0

citations
Deep Reinforcement Learning Based Energy Management Strategy for Fuel Cell and Battery Powered Rail Vehicles
2021 IEEE Vehicle Power and Propulsion Conference (VPPC) conference-paper Engineering Electric and Hybrid Vehicle Technologies

Kai Deng, Di Hai, Hujun Peng, Lars Löwenstein, Kay Hameyer

5

citations