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Papers matching “learning-based optimization” 34

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Systematic framework for deep learning-based predictive injection control with Bayesian hyperparameter optimization for a hydrogen/diesel dual-fuel engine
2025 Control Engineering Practice article Engineering Advanced Control Systems Optimization Open access cited by 1 patent

Hossein Mehnatkesh, Alexander Winkler, Edward Sperling, Javad Kheyrollahi, Mahdi Shahbakhti, David C. Gordon, +1 more

15

citations
The Mini Wheelbot: A Testbed for Learning-based Balancing, Flips, and Articulated Driving
2025 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Engineering Control and Dynamics of Mobile Robots Open access

Henrik Hose, Jan Weisgerber, Sebastian Trimpe

3

citations
Machine Learning-Based Dynamic Modeling of Ball Joint Friction for Real-Time Applications
2025 Lubricants article Engineering Vehicle Dynamics and Control Systems Open access

Kai Pfitzer, Lucas Rath, Sebastian Kolmeder, Burkhard J. Corves, Günther Prokop

5

citations
Uncertainty Quantification in the Directed Energy Deposition Process Using Deep Learning-Based Probabilistic Approach
2022 Key engineering materials article Engineering Additive Manufacturing Materials and Processes Open access

Thinh Quy Duc Pham, Truong‐Vinh Hoang, Seifallah Fetni, Laurent Duchêne, Hoang Son Tran, Anne Marie Habraken

4

citations
Reinforcement Learning-based Joint Handover and Beam Tracking in Millimeter-wave Networks
2023 IEEE Wireless Communications and Networking Conference conference-paper Engineering Millimeter-Wave Propagation and Modeling Open access

Sara Khosravi, Hossein Shokri‐Ghadikolaei, Jens Zander

3

citations
Reinforcement Learning-based Joint Handover and Beam Tracking in Millimeter-wave Networks
2023 arXiv (Cornell University) preprint Engineering Millimeter-Wave Propagation and Modeling Open access

Hossein Shokri‐Ghadikolaei, Jens Zander, Marina V. Petrova

0

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
Development of a machine learning-based surrogate model for friction prediction in textured journal bearings
2024 Friction article Engineering Tribology and Lubrication Engineering Open access

Yujun Wang, Georg Jacobs, Shuo Zhang, Benjamin Klinghart, Florian König

11

citations
Studying the relationship between window size and other hyperparameters in deep learning-based energy consumption forecasters
2025 RWTH Publications (RWTH Aachen) article Engineering Energy Load and Power Forecasting Open access

0

citations
Machine Learning-Based Control for Fuel Cell Hybrid Buses: From Average Load Power Prediction to Energy Management
2022 Vehicles article Engineering Electric and Hybrid Vehicle Technologies Open access

Hujun Peng, Jianxiang Li, Kai Deng, Kay Hameyer

12

citations
Reinforcement Learning-based Virtual Fixtures for Teleoperation of Hydraulic Construction Machine
2023 RWTH Publications (RWTH Aachen) conference-paper Engineering Teleoperation and Haptic Systems Open access

Hyung Joo Lee, Sigrid Brell‐Çokcan

4

citations
Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems
2022 IEEE Transactions on Wireless Communications article Engineering Advanced MIMO Systems Optimization Open access

Mahmoud Zaher, Özlem Tuğfe Demir, Emil Björnson, Marina Petrova

110

citations
Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model
2022 Probabilistic Engineering Mechanics article Engineering Additive Manufacturing Materials and Processes Open access

Thinh Quy Duc Pham, Truong‐Vinh Hoang, Seifallah Fetni, Laurent Duchêne, Hoang Son Tran, Anne Marie Habraken

20

citations
Machine Learning-Based Identification of Interpretable Process-Structure Linkages in Metal Additive Manufacturing
2022 SSRN Electronic Journal preprint Engineering Additive Manufacturing Materials and Processes Open access

Marc Ackermann, Christian Haase

3

citations
Deep representation learning and reinforcement learning for workpiece setup optimization in CNC milling
2023 Production Engineering article Engineering Manufacturing Process and Optimization Open access

Владимир Самсонов, Enslin Chrismarie, Hans-Georg Köpken, Schirin Bär, Daniel Lütticke, Tobias Meisen

14

citations
Investigation of reinforcement learning for shape optimization of 2D profile extrusion die geometries
2023 Advances in Computational Science and Engineering article Engineering Topology Optimization in Engineering Open access

Clemens Fricke, Daniel Wolff, Marco Kemmerling, Stefanie Elgeti

7

citations
Machine-learning integrated multi-domain co-optimization for electrified heavy duty fleets
2025 eTransportation article Engineering Electric and Hybrid Vehicle Technologies Open access

Christoph Wellmann, Pekka Rahkola, Mikko H. Pihlatie, Abdul Rahman Khaleel, Christopher Marx, Akshay Sharma, +2 more

1

citations
Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward
2022 Engineering Applications of Artificial Intelligence article Engineering Scheduling and Optimization Algorithms Open access

Владимир Самсонов, Karim Ben Hicham, Tobias Meisen

37

citations
TokenJSP: Graph Representation Learning Datasets for Job Shop Scheduling
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Scheduling and Optimization Algorithms Open access

Ziya Valiyev, Alexander Nasuta

0

citations
TokenJSP: Graph Representation Learning Datasets for Job Shop Scheduling
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Scheduling and Optimization Algorithms Open access

Ziya Valiyev, Alexander Nasuta

0

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
Toward Robust Quantitative Photoacoustic Tomography via Learned Iterative Methods
2026 IEEE Transactions on Computational Imaging article Engineering Photoacoustic and Ultrasonic Imaging Open access

Janek Gröhl, Felix F. Lucka, Andreas Hauptmann

2

citations
Deep Reinforcement Learning for Cognitive Time-Division Joint SAR and Secure Communications
2026 arXiv (Cornell University) preprint Engineering Wireless Communication Security Techniques Open access

Mohamed-Amine Lahmeri, Ata Khalili, Yujiao Liu, Anke Schmeink, Robert Schober

0

citations
Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Julian Bedei, Alexander Winkler, Murray McBain, Charles Robert Koch, David C. Gordon

0

citations
A Modular End-to-End Sim2Real Pipeline for Object Detection and 6D-Pose Estimation in Robot-based Industrial Assembly
2026 Procedia CIRP article Engineering Robot Manipulation and Learning Open access

Oliver Petrović, Patrick Dohmen, Petar Tesic, Werner Herfs

0

citations