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

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

This paper represents the first attempt to examine investor behaviour for green stocks through the lens of return co-movement ...

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

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 ...

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

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

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

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

The Cetacean Translation Initiative is using artificial intelligence to help understand sperm whale communications. Lawyers ...