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 ...

K-Means aims to partition your data into K distinct, non-overlapping clusters based on similarity. It minimizes the within-cluster sum of squares (WCSS) — i.e., how close data points in the same ...

Welcome to your premier source for the latest in AI, cryptocurrency, blockchain, and AI search tools—driving tomorrow's innovations today. Disclaimer: Blockchain.news provides content for ...

Sales of Nerds have greatly increased in recent years, the company says. The secret? A multicolored orb. Sales of Nerds have greatly increased in recent years, the company says. The secret? A ...

pyForTraCC is a Python library developed for identifying, tracking, and forecasting clusters in diverse datasets. Its modular structure enables flexible integration, supporting user-defined ...

1 Departments of Computer Sciences, Nasarawa State University, Keffi, Nigeria. 2 Departments of Computer Sciences, University of Jos, Jos, Nigeria. Due to the rapid development of logistic industry, ...

PyPI is popular among Python programmers for sharing and downloading code. Since anyone can contribute to the repository, malware – sometimes posing as legitimate, popular code libraries – can appear ...

Abstract: In this paper, we analyze steady-state throughput and scheduling of linear cluster tools with single-blade robots in semiconductor manufacturing. We extend the existing research results in ...