JHU mathematician Emily Riehl explains how a surprising amount of math goes into determining who ends up in the U.S. House of ...
Abstract: As a large number of lithium-ion batteries are disassembled from electric vehicles, the screening and regrouping of retired batteries are increasingly crucial. Currently, known screening ...
Abstract: Random Fourier Features (RFF) are widely employed in machine learning to approximate kernel functions with low-dimensional feature mappings, effectively reducing computational cost and ...
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