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 ...
This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...
Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...
What defines Museveni’s leadership is not longevity for its own sake, but coherence of purpose over time.
Metabolic syndrome affects nearly 40% of adults, with sharper increases seen in older age groups and non-Hispanic Black ...
Abstract: The conventional sector beam antenna array used in communication system suffers from the reduced signal strength as its distance to the receiving terminal gradually increases. In response to ...
Abstract: The importance of Machine Learning in predicting Air Quality Index (AQI) is increasing day by day. This aids in informed health protection decisions amid air pollution's impacts. The factors ...
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