In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...
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 ...
Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
Abstract: The increasing incidence of mental health issues demands innovative diagnostic methods, especially within digital communication. Traditional assessments are challenged by the sheer volume of ...
Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...
Abstract: Digital pathology, integral to cancer diagnosis, heavily utilizes the analysis of whole slide images (WSIs) to detect cancer cells. Traditionally, WSIs are manually examined—a process that ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback