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Recently, machine learning techniques have become an indispensable alternative for computational studies of cancers and efficient prediction of cancer-drug responses or drug resistance levels. Meanwhile, in cancer characterization, molecular dynamics (MD) simulations can greatly reveal the dynamic and functional features of cancer-related proteins. In our work, MD simulations were implemented to extract...
Polarimetric hyperspectral images can provide spectral, spatial, and polarimetric information of a scene, which are unique and comprehensive for remote sensing applications such as growth monitoring of crops, analysis of water quality, and geology mapping, etc. The researches on polarimetric hyperspectral imaging mechanism and on image characteristics are of great importance for further information...
This paper gives an overview of the sensitivity of AERMOD by comparing the simulated concentrations of SO2 under different model options with the corresponding observed concentrations. While the influence of meteorological conditions on the performance of AERMOD is noticeable, the urban/rural dispersion coefficients and the terrain conditions have only a limited influence on the results from AERMOD...
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