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

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

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

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 ...

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 ...

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

Improving housing quality may improve residents’ health, but identifying buildings in poor repair is challenging. We developed a method to improve health-related building inspection targeting. Linking ...

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