Abstract: Deep-learning-based health prognostics is receiving ever-increasing attention. Most existing methods leverage advanced neural networks for prognostics performance improvement, providing ...

The sister ship of the notorious Bayesian superyacht that sank last year has gone on sale under a name tempting fate. Seven people died when the 'unsinkable' £27million Bayesian capsized off the coast ...

A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.

Abstract: Accurate calibration of car-following models is essential for understanding human driving behaviors and implementing high-fidelity microscopic simulations. This work proposes a ...

TRIMER is a package for building integrated metabolic–regulatory models base on Bayesian network. TRIMER can be used for knockout phenotype prediction and knock flux prediction.