IEEE

RUL Prediction and Uncertainty Quantification Based on 2D Convolution Neural Network and Approximate Bayesian Framework

Abstract: The prediction of mechanical equipment's' Remaining Useful Life (RUL) and Prognostics and Health Management (PHM) is attracting increasing attention. However, most studies provide only point ...
IEEE

Bayesian Deep Neural Network-empowered Thompson Sampling for Context-aware Task Offloading in Dynamic Fog Computing

Abstract: Efficient task offloading in dynamic fog computing environments requires adaptive decision-making under uncertainty. This paper proposes a Bayesian Deep Neural Network (BDNN)-empowered ...
BMJ

Efficacy and safety of 11 sodium-glucose cotransporter-2 inhibitors at different dosages in type 2 diabetes mellitus patients inadequately controlled with metformin: a Bayesian ...

Objectives Assess the efficacy and safety profiles of different sodium-glucose cotransporter-2 inhibitors (SGLT2is) as an add-on to metformin in type 2 diabetes mellitus (T2DM) patients. Design ...