To prevent data imbalance, a common problem in environmental modeling where non-flooded areas vastly outnumber flooded points ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

AI-based analysis of OCT imaging may detect early signs of sickle cell maculopathy in pediatric patients, a study suggests.

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Acetylation of lysine residues in the tail domain of histone H3 is well characterized, but lysine residues in the histone globular domain are also acetylated. Histone modifications in globular domain ...

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...