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pro vyhledávání: '"data-driven methods"'
This review examined the current advancements in data-driven methods for analyzing flow and transport in porous media, which has various applications in energy, chemical engineering, environmental science, and beyond. Although there has been progress
Externí odkaz:
http://arxiv.org/abs/2406.19939
Autor:
Luo, Shu-Long1 (AUTHOR), Shi, Xing1,2 (AUTHOR), Yang, Feng1,2 (AUTHOR) yangfeng@tongji.edu.cn
Publikováno v:
Energies (19961073). Sep2024, Vol. 17 Issue 18, p4641. 33p.
Full-Waveform Inversion (FWI) is a nonlinear iterative seismic imaging technique that, by reducing the misfit between recorded and predicted seismic waveforms, can produce detailed estimates of subsurface geophysical properties. Nevertheless, the str
Externí odkaz:
http://arxiv.org/abs/2406.05153
Publikováno v:
Computer Methods in Applied Mechanics and Engineering (2024)
We present a comparison between two approaches to modelling hyperelastic material behaviour using data. The first approach is a novel approach based on Data-driven Computational Mechanics (DDCM) that completely bypasses the definition of a material m
Externí odkaz:
http://arxiv.org/abs/2409.06727
We explores the Pantheon+SH0ES dataset to identify patterns that can discriminate between different cosmological models. We focus on determining whether the behaviour of dark energy is consistent with the standard $\Lambda$CDM model or suggests novel
Externí odkaz:
http://arxiv.org/abs/2408.01563
Autor:
Dong, Guozhi, Flaschel, Moritz, Hintermüller, Michael, Papafitsoros, Kostas, Sirotenko, Clemens, Tabelow, Karsten
In the field of quantitative imaging, the image information at a pixel or voxel in an underlying domain entails crucial information about the imaged matter. This is particularly important in medical imaging applications, such as quantitative Magnetic
Externí odkaz:
http://arxiv.org/abs/2404.07886
Autor:
Goldfarb, Boris
Motion path planning is an intrinsically geometric problem which is central for design of robot systems. Since the early years of AI, robotics together with computer vision have been the areas of computer science that drove its development. Many ques
Externí odkaz:
http://arxiv.org/abs/2403.12725
Autor:
Jiafu Niu, David Reeping
Publikováno v:
Studies in Engineering Education, Vol 5, Iss 2, Pp 150–174-150–174 (2024)
Background: Quantitative methods have been frequently used in engineering education research to investigate generalizable patterns and causal relationships in phenomena of interest to the field. With the proliferation of educational data and growing
Externí odkaz:
https://doaj.org/article/e5b890950db34813a18995a99ded0082