Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

What Are Non-Human Identities and Why Are They Crucial for Enterprise Security? How can organizations safeguard their digital assets? This question underlines the increasing importance of managing Non ...

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 ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

TNO drives the future of secure AI - researching, designing, and testing cutting-edge cybersecurity solutions for next-gen ...

Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.