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 ...
In analyzing dozens of AI PoCs that sailed on through to full production use — or didn’t — six common pitfalls emerge.
Machine learning predicted ASD using sex-specific prenatal/perinatal factors: pregestational BMI, socioeconomic status, maternal age, and more.
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 .
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 ...
Some bacterial species, particularly some linked to inflammation, are associated with coronary artery disease, a common form ...
This paper represents the first attempt to examine investor behaviour for green stocks through the lens of return co-movement ...
An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback