Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Abstract: Machine learning draws its power from various disciplines, including computer science, cognitive science, and statistics. Although machine learning has achieved great advancements in both ...

Recently, a collaborative team from multiple institutions, including CIOMP, published a review article in Light: Science & Applications, systematically expounding on the cutting-edge developments in ...

ICSE History and Civics Specimen Paper 2026 for Class 10: The ICSE History and Civics Specimen 2026 exam is going to be held on 16 March, 2026 and students should start their preparation with the ...

Abstract: Unsupervised person re-identification (Re-ID) is challenging due to the lack of ground truth labels. Most existing methods employ iterative clustering to generate pseudo labels for unlabeled ...