Papers matching “Latin hypercube sampling” 19
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Methods to Evaluate Subcolumn Profiles Based on Two‐Point Diagnostics2024 Journal of Geophysical Research Atmospheres article Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access
Benjamin A. Stephens, Vincent E. Larson, Rob Newsom, William I. Gustafson, Gerhard Dikta
0citations -
Prediction of Particle Properties in Plasma Spraying Based on Machine Learning2021 Journal of Thermal Spray Technology article Engineering High-Temperature Coating Behaviors Open access
Kirsten Bobzin, W. Wietheger, H. Heinemann, Seyed Ruhollah Dokhanchi, Michael Rom, Giuseppe Visconti
37citations -
A Composite Model Predictive Control Method of SRMs With PWM-Based Signal for Torque Ripple Suppression2023 IEEE Transactions on Transportation Electrification article Engineering Electric Motor Design and Analysis cited by 1 patent
Lefei Ge, Jixuan Guo, Shuai Mao, Dianxun Xiao, Dongdong Zhao, Shoujun Song, +1 more
35citations -
Integrating computational fluid dynamics and artificial intelligence for predicting in-flight thermo-kinetic properties in cold spray2026 Journal of Manufacturing Processes article Engineering High-Temperature Coating Behaviors Open access cited by 1 patent
Roberta Falco, Kirsten Bobzin, H. Heinemann, M. Erck, K. Jasutyn, Christopher Wasels, +1 more
2citations -
On the estimation of interior walls in the district-scale Life Cycle Assessment of buildings2024 Science and Technology for the Built Environment article Environmental Science Environmental Impact and Sustainability Open access
Maximilian Schildt, Johannes Linus Cuypers, Avichal Malhotra, Maxim Shamovich, Jérôme Frisch, Christoph Alban van Treeck
1citations -
Optimization-Based Energy System Planning Under Long-Term Uncertainty: Rapid Monte Carlo Analysis Using Linear Regression2023 International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS) conference-paper Engineering Integrated Energy Systems Optimization Open access
Hagen Seele, Jan Tautorus, Christiane Reinert, Niklas V. von der Assen
1citations -
Physics-Based Machine Learning: Opportunities and Challenges for Mantle Convection2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Model Reduction and Neural Networks Open access
Marilina Valatsou, Denise Degen, Juliane Dannberg, René Gassmöller, Florian Wellmann
0citations -
Physics-Based Machine Learning: Opportunities and Challenges for Mantle Convection2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Model Reduction and Neural Networks Open access
Marilina Valatsou, Denise Degen, Juliane Dannberg, René Gassmöller, Florian Wellmann
0citations
19 results