Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

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 ...
IEEE

Data-Driven Insights into High School Market Segmentation Using Multidimensional Clustering Approaches

Abstract: In the increasingly competitive landscape of higher education, market segmentation has become essential for institutions to effectively target prospective students. High school segmentation ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Frontiers

Cluster segmentation and stereo vision-based apple localization algorithm for robotic harvesting

Introduction: Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as ...
IEEE

Data-Driven Customer Segmentation in E-Commerce using K-Means Clustering for Personalized Marketing Strategies

Abstract: With the big data era, precision marketing in e-commerce has become ever more important in order to target prospective customers with high relevance. The present research focuses on applying ...