Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

It can take as long as 18 months for children with suspected autism spectrum or attention-deficit-hyperactivity disorders to ...

This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

Latency is one of the critical performance metrics for Networks-on-Chips (NoCs). When designing an NoC, the designers have to explore enormous design parameters and various traffic patterns, thus a ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Microsoft researchers believe they have found a way to use machine learning to push those limits for small molecules (arXiv 2025, DOI: 10.48550/arXiv.2506.14665).

The traditional Von Neumann computing architecture, which necessitates data transfer between external memory and the processor, incurs significant energy and time costs when running deep learning (DL) ...