Abstract: The forecasting of electricity demand has become one of the major research fields in electrical engineering. Accurately estimated forecasts are essential part of an efficient power system ...
GMET is a software for created gridded meteorological datasets for precipitation and temperature. The current applications have been at a daily timestep, yielding daily total precipitation, mean ...
In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...
1 College of Science, North China University of Science and Technology, Tangshan, China. 2 Hebei Provincial Key Laboratory of Data Science and Applications, North China University of Science and ...
PySAL, the Python spatial analysis library, is an open source cross-platform library for geospatial data science with an emphasis on geospatial vector data written in Python. It supports the ...
Abstract: Power system operations data are sometimes limited in a given space due to system collinearity. As such, the operations data recorded around an operating point of concern may be deficient or ...
dMedical Image Computing, German Cancer Research Center, Heidelberg, Germany eClinical Cooperation Unit Neurooncology, German Cancer Research Center, Heidelberg, Germany mDepartment of Neurology and O ...
Diffusion-weighted imaging radiomics could be used as prognostic biomarkers in acute ischemic stroke. We aimed to identify a clinical and diffusion-weighted imaging radiomics model for individual ...
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