By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

Biologists mapping the human microbiome expected to find new bacteria and viruses, not entities that slip through every ...

Abstract: Hyperspectral remote sensing images exhibit high dimensionality, a large volume of data, and significant redundant information. Before using deep learning methods for ground monitoring and ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

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

As we head into the New Year, experts across the tech landscape weigh in to share what they think will happen in 2026 ...

Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...

For millions of people around the world, traditional medicine is the first place they turn when they are sick.

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

Researchers at Osaka Metropolitan University developed models that classify X-ray images into specific body regions and ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...