Papers matching “machine learning optimization” 133
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Using Machine Learning Methods to Assess Module Performance Contribution in Modular Optimization Frameworks2023 Zenodo (CERN European Organization for Nuclear Research) article Business, Management and Accounting Product Development and Customization Open access
Ana Kostovska, Diederick Vermetten, Peter Korošec, Sašo Džeroski, Carola Doerr, Tome Eftimov
0citations -
Recent advances in metasurface design and quantum optics applications with machine learning, physics-informed neural networks, and topology optimization methods2023 Light Science & Applications article Materials Science Metamaterials and Metasurfaces Applications Open access cited by 1 patent
Wenye Ji, Jin Chang, He‐Xiu Xu, J. R. Gao, Simon Gröblacher, Hendrik Paul Urbach, +1 more
270citations -
Recent Advances in Metasurface Design and Quantum Optics Applications with Machine Learning, Physics-Informed Neural Networks, and Topology Optimization Methods2023 arXiv (Cornell University) preprint Materials Science Metamaterials and Metasurfaces Applications Open access
Wenye Ji, He‐Xiu Xu, Jian Gao, Simon Gröblacher, Paul Urbach, Aurèle J. L. Adam
0citations -
Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes2023 Journal of Neural Engineering article Neuroscience Neuroscience and Neural Engineering Open access
Simone Romeni, Elena Losanno, Elisabeth Koert, Luca Pierantoni, Ignacio Delgado, Xavier Navarro, +1 more
15citations -
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease2023 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Janne M. Papma, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, +6 more
1citations -
Physics-based machine learning for modeling thermo-hydraulic processes in a coaxial deep borehole heat exchanger, considering an explicit reservoir-wellbore representation: A case study of Cornwall, UK
Dimitra Teza, Ryan Santoso, Nora Koltzer, Denise Degen, Tony Bennett, Florian Wellmann
0citations -
Machine-Learning Based Approximation of the Hierarchical Model Predictive Control of Multi-Use PV-Battery Systems in Non-Residential Buildings1citations
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THU208 Predicting Treatment Quality Assessment Of Children With Congenital Adrenal Hyperplasia Using 24h Urine Metabolomics Profiling And A Machine Learning-assisted Approach2023 Journal of the Endocrine Society article Biochemistry, Genetics and Molecular Biology Sexual Differentiation and Disorders Open access
Ozair Abawi, Grit Sommer, Michael Groessl, Ulrike Halbsguth, Sabine Elisabeth Hannema, Christiaan de Bruin, +4 more
1citations -
Molecular Design of Fuels for Maximum Spark-Ignition Engine Efficiency by Combining Predictive Thermodynamics and Machine Learning2023 Energy & Fuels article Chemical Engineering Advanced Combustion Engine Technologies Open access
Lorenz Fleitmann, Philipp Ackermann, Johannes Schilling, Johanna Kleinekorte, Jan G. Rittig, Florian vom Lehn, +6 more
25citations -
Towards digital twins of waste sorting plants: Developing data-driven process models of industrial-scale sensor-based sorting units by combining machine learning with near-infrared-based process monitoring2023 Resources Conservation and Recycling article Engineering Fault Detection and Control Systems Open access
Nils Kroell, Abtin Maghmoumi, Tobias Dietl, Xiaozheng Chen, Bastian Küppers, Tabea Scherling, +2 more
36citations