IEEE

ABMF-Net: An Attentive Bayesian Multi-Stage Deep Learning Model for Robust Forecasting of Electricity Price and Demand

Abstract: This article presents a novel deep learning model, the Attentive Bayesian Multi-Stage Forecasting Network (ABMF-Net), designed for robust forecasting of electricity price (USD/MWh) and ...
IEEE

A Physics-Guided Bayesian Neural Network for Sensor Fault Detection in Wind Turbines

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 ...
Frontiers

Optimal dose and type of exercise to improve cognitive function in adults with major depressive disorder: a systematic review and Bayesian model-based network meta-analysis

Introduction: Cognitive impairment is a core feature of major depressive disorder (MDD) that often persists during remission, significantly affecting psychosocial functioning. While exercise is known ...
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NOAA says new AI-driven weather models improve forecast speed, accuracy

The National Oceanic and Atmospheric Administration has introduced a new suite of weather forecasting models that are driven by Artificial Intelligence and are expected to deliver faster and more ...