Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zhao, Xiaoyu"'
Data-driven prediction of fluid flow and temperature distribution in marine and aerospace engineering has received extensive research and demonstrated its potential in real-time prediction recently. However, usually large amounts of high-fidelity dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daec1d97930dd7a86c98422be147f2d4
This paper presents a fast lidar-inertial odometry (LIO) that is robust to aggressive motion. To achieve robust tracking in aggressive motion scenes, we exploit the continuous scanning property of lidar to adaptively divide the full scan into multipl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46a53de0de907f017f6344e30fc9e9d6
The application of transformation optics to the development of intriguing electromagnetic devices can produce weakly anisotropic or isotropic media with the assistance of quasi-conformal and/or conformal mapping, as opposed to the strongly anisotropi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fe3753f9ab7b85c54bf57b8a86c5eae
Temperature field prediction is of great importance in the thermal design of systems engineering, and building the surrogate model is an effective way for the task. Generally, large amounts of labeled data are required to guarantee a good prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ceb76f55de7b221811473d95fed0272a
Physics Informed Neural Network (PINN) is a scientific computing framework used to solve both forward and inverse problems modeled by Partial Differential Equations (PDEs). This paper introduces IDRLnet, a Python toolbox for modeling and solving prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98050951632c970a93fd7bca50753302