Abstract: This article investigate the performance of Gaussian Empirical Gain Maximization (EGM) in a regression setting and conduct a detailed theoretical analysis, particularly in the presence of ...
Abstract: Activation functions are important components of Convolutional Neural Networks (CNN) that introduces nonlinearity in the model to compute complex functions. There are different types of ...
The aim of this study was to investigate the main factors that influence the latent heat fluxes (LHF) in the Tokar Gap in the central part of the Red Sea. From 2000 to 2020, ERA5 reanalysis data on ...
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