A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
Researchers from the Institute of Applied Ecology of the Chinese Academy of Sciences have proposed a structured framework to ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Introduction Repeated exposure to domestic violence (DV) is common among women; however, little is known about how women’s ...
A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
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