Zobrazeno 1 - 10
of 12 875
pro vyhledávání: '"Learning Physics"'
Autor:
Ghanem, Paul, Demirkaya, Ahmet, Imbiriba, Tales, Ramezani, Alireza, Danziger, Zachary, Erdogmus, Deniz
Learning dynamics governing physical and spatiotemporal processes is a challenging problem, especially in scenarios where states are partially measured. In this work, we tackle the problem of learning dynamics governing these systems when parts of th
Externí odkaz:
http://arxiv.org/abs/2412.08681
Calibrating the time-dependent Implied Volatility Surface (IVS) using sparse market data is an essential challenge in computational finance, particularly for real-time applications. This task requires not only fitting market data but also satisfying
Externí odkaz:
http://arxiv.org/abs/2411.02375
Extracting physical dynamical system parameters from videos is of great interest to applications in natural science and technology. The state-of-the-art in automatic parameter estimation from video is addressed by training supervised deep networks on
Externí odkaz:
http://arxiv.org/abs/2410.01376
Autor:
أمل عبد الرحمن ال
Publikováno v:
Journal of Education - Sohag University. Sep2024, Vol. 124 Issue 125, p1183-1202. 20p.
Accurately modeling the mechanical behavior of materials is crucial for numerous engineering applications. The quality of these models depends directly on the accuracy of the constitutive law that defines the stress-strain relation. Discovering these
Externí odkaz:
http://arxiv.org/abs/2407.20273
Autor:
Ren, Pu, Nakata, Rie, Lacour, Maxime, Naiman, Ilan, Nakata, Nori, Song, Jialin, Bi, Zhengfa, Malik, Osman Asif, Morozov, Dmitriy, Azencot, Omri, Erichson, N. Benjamin, Mahoney, Michael W.
Predicting high-fidelity ground motions for future earthquakes is crucial for seismic hazard assessment and infrastructure resilience. Conventional empirical simulations suffer from sparse sensor distribution and geographically localized earthquake l
Externí odkaz:
http://arxiv.org/abs/2407.15089
Publikováno v:
EuroXR 2021, EuroXR, Nov 2021, Milan, Italy. pp.164-170
Training students in basic concepts of physics, such as the ones related to mass, volume, or density, is much more complicated than just stating the underlying definitions and laws. One of the reasons for this is that most students have deeply rooted
Externí odkaz:
http://arxiv.org/abs/2401.01831
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