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 ...
Machine learning predicted ASD using sex-specific prenatal/perinatal factors: pregestational BMI, socioeconomic status, maternal age, and more.
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 ...
In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.
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 .
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