Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...
Abstract: In this paper a universal non-parametric mesh magnetic reluctance network (MRN) model has been proposed for the modelling of radial interior permanent magnet synchronous machines (PMSMs).
Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification
Abstract: This paper introduces Point-GN, a novel non-parametric network for efficient and accurate 3D point cloud classification. Unlike conventional deep learning models that rely on a large number ...
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