Abstract: The radial basis function (RBF) neural network is a type of universal approximator, and has been widely used in various fields. Improving the training speed and compactness of RBF networks ...
Abstract: The observation surface of gravity data is often undulating, and the density inversion efficiency of gravity data is seriously reduced due to the low computational efficiency of the kernel ...
The study, “Integration of phospho-signaling and transcriptomics in single cells reveals distinct Th17 cell fates,” was published in Cell Reports. In the study, first author Seth Fortmann, M.D., Ph.D.
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