Angiosperms, also known as flowering plants, represent the most diverse group of seed plants, and their origin and evolution ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Abstract: We propose a semi-supervised ordinal classification method based on ranking consistency regularization, addressing limitations in capturing ordinal relationships and mitigating semantic ...

Abstract: We develop a probabilistic approach to improve the self-consistency of Doppler Velocity Log (DVL) derived bathymetric maps that models the interactions of acoustic beams with uneven ...

Researchers show that analyzing just 7% of the hip bone can predict fracture risk with 95% accuracy, improving osteoporosis ...

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 ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, ...

Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Khlong Luang, Pathum Thani, Thailand RandomGaussianNB is an open-source R package implementing the ...

Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer component developed by researchers at the University of California, Santa ...