Papers matching “learning-based optimization” 14
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Uncertainty Quantification in the Directed Energy Deposition Process Using Deep Learning-Based Probabilistic Approach2022 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
4citations -
Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model2022 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
20citations -
Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer2022 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
27citations -
AI agents envisioning the future: Forecast-based operation of renewable energy storage systems using hydrogen with Deep Reinforcement Learning2022 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
100citations -
microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation2022 PLoS ONE article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Tim Scherr, Johannes Seiffarth, Bastian Wollenhaupt, Oliver Neumann, Marcel P. Schilling, Dietrich Kohlheyer, +3 more
11citations -
microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Tim Scherr, Johannes Seiffarth, Bastian Wollenhaupt, Oliver Neumann, Marcel P. Schilling, Dietrich Kohlheyer, +3 more
1citations -
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data2022 International Conference on Computer and Automation Engineering conference-paper Computer Science Seismology and Earthquake Studies Open access
Fan Yang, Marios Kefalas, Anna V. Kononova, Yanan Qiao, Thomas Bäck
11citations
14 results