Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

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 ...

Harvard University is now making its most sought-after computer science courses accessible for free. Topics include AI, Python, cybersecurity, and web development. These courses come with no fees or ...

The US Navy’s beleaguered shipbuilding program took a major hit on Tuesday as Navy Secretary John Phelan announced he was cancelling plans to buy Constellation-class frigates, once heralded as a key ...

Abstract: Machine Learning (ML) systems are integrated with other parts of modern cyberinfrastructure (CI), which forms the novel ML with Integrated Network (MLIN) structure. Various security tools ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

Self-mixing interferometry (SMI) is an emerging optical sensing technique for detecting and classifying microparticles in non-contact and label-free flowmetry applications. High precision and ...

Remember high school? Your friends, your music, your style? What lessons from high school classes do you still use today? If you could go back, what do you wish you’d learned about real life? Research ...

One of the most prolific Mercedes-Benz engines, the 3.5-liter V6 is usually pretty solid, but not always. No engine is perfect, but some are so well engineered that they’re close enough, and the ...