Abstract: An analytical model for GaN HEMTs using Gaussian Function is presented in this paper. The expression proposed is simple and can be differentiated into any higher order. Compared with the ...
Introduction: Causal inference of athletic injuries provides the critical foundations for the development of effective prevention strategies. In recent years, the directed acyclic graph model (DAG) ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We develop constrained nuclear-electronic orbital density functional theory (CNEO–DFT) ...
Editorial Note: Talk Android may contain affiliate links on some articles. If you make a purchase through these links, we will earn a commission at no extra cost to you. Learn more. If you’ve ever ...
Abstract: This paper proposes a novel iterative gradient-based optimization approach aimed at achieving more precise and streamlined approximations for the Gaussian Q function—an essential element in ...
mathext/hyp2f1_scipy_test.go Outdated Show resolved Hide resolved mathext/hyp2f1_scipy_test.go Outdated Show resolved Hide resolved mathext/hyp2f1_scipy_test.go ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Satellite data provides essential insights into the spatiotemporal distribution of CO ...
The Gaussian sum cubature Kalman filter (GSCKF) based on Gaussian mixture model (GMM) is a critical nonlinear non-Gaussian filter for data fusion of global navigation satellite system/strapdown ...
This repository contains the research paper and code related to Uniform Convergence of Lipschitz Functions with Dependent Gaussian Samples. The work provides theoretical bounds for learning Lipschitz ...
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