New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...
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 ...
1 Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, United States 2 Department of Electrical and Computer Engineering, The University of Texas Rio Grande ...
Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
ABSTRACT: High-quality data is essential for hospitals, public health agencies, and governments to improve services, train AI models, and boost efficiency. However, real data comes with challenges: ...
Anthony Bussing (he/him) is a Gaming Features Writer from Michigan. Anthony has a Bachelor of Arts degree in English, with a minor in Journalism, achieved in 2022, from Adrian College, specifically to ...
Developing novel materials drives significant breakthroughs across various engineering fields. Recent advancements in computational resources and techniques have enabled comprehensive material ...