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 ...

Abstract: This research work introduces a clustering-based in-place sorting algorithm, cluster sort. It is designed in such a way that it improves sorting efficiency by using data locality. It works ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional ...

Dec 2 (Reuters) - Cloud infrastructure company Vultr said on Tuesday it would invest more than $1 billion to launch a new artificial intelligence cluster powered by Advanced Micro Devices' (AMD.O), ...

Dominion Energy says its upcoming $11-a-month rate hike is driven by grid upgrades and inflation — not Virginia’s rapidly growing data-center industry. Critics note that Virginia hosts one of the ...

Amazon could be accelerating the dangerous levels of nitrates in Morrow County’s drinking water. Amazon could be accelerating the dangerous levels of nitrates in Morrow County’s drinking water. is the ...

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...

For the hundreds of communities who’ve been saddled with data centers in recent years, the bulky fixtures are sources of unbearable noise, soaring energy prices, and plenty of electrical fires. Add ...

Researchers analyzed data from over six million people to see how close residents lived to cannabis retailers. Neighborhoods near these shops experienced higher cannabis-related emergency visits ...