Abstract: Data distribution shift is a common problem in machine learning-powered smart city applications where the test data differs from the training data. Augmenting smart city applications with ...
Abstract: To promote the applications of gamma approximation for lognormal shadowing models in a multitude of applications, we propose to use the Kolmogorov-Smirnov (K-S) criterion to enable channel ...
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