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 ...

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 ...

Abstract: Predictive maintenance is essential for ensuring the reliability and efficiency of wind energy systems. Traditional deep learning models for sensor fault detection rely solely on data-driven ...