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Papers matching “learning-based optimization” 113

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Learning-Based Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks
2021 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

0

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
Deep learning-based rapid and precise die design to compensate springback in metallic bipolar plate stamping for proton exchange membrane fuel cells
2026 Measurement article Engineering Metal Forming Simulation Techniques

Hyeongmin Kim, Sang-Wook Lee, Donghyu Lee, Florian Hüsing, C. Brecher, Byeng Dong Youn

0

citations
Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer
2022 Journal of Imaging Informatics in Medicine article Physics and Astronomy Advanced Radiotherapy Techniques Open access

Mohammad Salehi, Alireza Vafaei Sadr, Seied Rabi Mahdavi, Hossein Arabi, Isaac Shiri, Reza Reiazi

27

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
Towards Real-Time Deep Learning-Based Network Intrusion Detection on FPGA
2021 Lecture notes in computer science conference-paper Computer Science Network Packet Processing and Optimization Open access

Laurens Le Jeune, Toon Goedemé, Nele Mentens

17

citations
Machine learning-based prediction of surface roughness and Barkhausen noise in cylindrical grinding with reduced sensor sets
2026 Manufacturing Letters article Engineering Advanced machining processes and optimization

Shota Kuroiwa, Eike Reuter, Fabian Brüssel, Sebastian Prinz, Thomas Bergs

0

citations
AI agents envisioning the future: Forecast-based operation of renewable energy storage systems using hydrogen with Deep Reinforcement Learning
2022 Energy Conversion and Management article Energy Hybrid Renewable Energy Systems Open access cited by 1 patent

Alexander Dreher, Thomas Bexten, Tobias Sieker, Malte Lehna, Jonathan Schütt, Christoph Scholz, +1 more

100

citations
A Review of Model-Based Optimization for Hydrogen Refueling Stations
2026 Computational methods in applied sciences conference-paper Energy Hybrid Renewable Energy Systems

Zhuang Kang, Jacob de Nobel, Michael Emmerich, Thomas Bäck, Yingjie Fan

0

citations
Developement of Reinforcement Learning based Optimisation Method for Side-Sill Design
2024 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Aditya Borse, Rutwik Gulakala, Marcus Stoffel

0

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
Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes
2025 Applied Sciences article Computer Science Advanced Multi-Objective Optimization Algorithms Open access cited by 1 patent

Akshay Paranjape, Nahid Quader, Lars Uhlmann, Benjamin Berkels, Dominik Wolfschläger, Robert Heinrich Schmitt, +1 more

4

citations
AIxCell: A Domain-Specific and Meta-Learning based AutoML System for Cellular Image Segmentation
2026 The Journal of Machine Learning for Biomedical Imaging article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access

Jan-Henner Roberg, Lars Leyendecker, Sebastian Schönleben, Robert H. Schmitt

0

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
Quantitative single-cell analysis using deep learning based smart live-cell microscopy
2025 RWTH Publications (RWTH Aachen) dissertation Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access

Johannes Seiffarth

0

citations
Machine learning based conditional mean filter: a non-linear extension of the ensemble Kalman filter
2021 conference-abstract Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Truong‐Vinh Hoang, Sebastian Krumscheid, Raul F. Tempone

2

citations
Reliability-Optimal Offloading in Low-Latency Edge Computing Networks: Analytical and Reinforcement Learning Based Designs
2021 IEEE Transactions on Vehicular Technology article Computer Science IoT and Edge/Fog Computing

Yao Lin Zhu, Yulin Hu, Tianyu Yang, Tao Yang, Jannik Vogt, Anke Schmeink

31

citations
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Deep Learning for Stock Performance Prediction: A Sharpe Ratio-Optimized Approach
2025 Asia Pacific Economic and Management Review article Decision Sciences Stock Market Forecasting Methods Open access

Thomas Müller

4

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