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, ...

Nevertheless, even in the worst-performing dataset, effort estimates aggregated to the project level showed good accuracy, with MMRE = 0.23. Machine learning algorithms, especially ensemble ones, seem ...

An AI-ready product should integrate machine learning (ML ... They should also focus on metrics like AI recommendation accuracy and prediction latency on top of traditional product metrics, such as ...

Organizations that delay systematic AI deployment risk being left behind by competitors who have already mastered the transition from experimentation to execution.

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).