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 ...

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 ...

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

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

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

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

Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...

Discover how drones and AI are revolutionizing Indian agriculture, enhancing yields and sustainability through precision data-driven farming.