Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...
Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
Abstract: This article proposes a physics-constrained neural network (PCNN) framework to model displacement damage-induced degradation in AlGaN/GaN high-electron-mobility transistors (HEMTs). The ...
Abstract: In this letter, we propose the B-GHF framework, an end-to-end collision state inference method based on a Bayesian framework that does not rely on external force/torque (F/T) sensors in the ...