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A novel deep-learning model to convert DAS strain to geophone particle velocity: application to PoroTomo data from the Brady geothermal field. [PDF]
Al-Qadasi B, Cui Y, Waheed UB, Wang HF.
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The Decubitus Universe: On the Physics of Pain, the Necessity of Motion, and the Ethics of Becoming
Jihoon Yang
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Interactions between atomic-scale skyrmions in 2D chiral magnets. [PDF]
Kameda M, Kobayashi K, Kawaguchi Y.
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EFFECT OF SOIL NONLINEARITY ON PHYSICS-BASED GROUND MOTION SIMULATIONS
W. Zhang +4 more
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Hybrid physics-based/data-based seismic ground motion generator of a site
Gottfried Jacquet
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Physics-based full-body soccer motion control for dribbling and shooting
ACM Transactions on Graphics, 2019Playing with a soccer ball is not easy even for a real human because of dynamic foot contacts with the moving ball while chasing and controlling it. The problem of online full-body soccer motion synthesis is challenging and has not been fully solved yet.
Seokpyo Hong +4 more
semanticscholar +3 more sources
Proceedings of the 2011 conference on Information technology education, 2011
Students in computer science and information technology should be engaged in solving real-world problems received from government and industry as well as those that expose them to various areas of application. This paper summarizes the results of an undergraduate research project between students in the Department of Information Sciences and Technology
Debra L. Smarkusky +5 more
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Students in computer science and information technology should be engaged in solving real-world problems received from government and industry as well as those that expose them to various areas of application. This paper summarizes the results of an undergraduate research project between students in the Department of Information Sciences and Technology
Debra L. Smarkusky +5 more
openaire +1 more source
Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction
Asilomar Conference on Signals, Systems and Computers, 2021In this work, we propose a robust learning-based cardiac motion estimation framework, to estimate non-rigid cardiac motion fields from undersampled cardiac data.
K. Hammernik +3 more
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