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 ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can transform their businesses overnight. Instead, many are discovering that without ...

This series of Voices of Student Success focuses on the use of generative artificial intelligence in higher education and how technology can support student success goals. Central New Mexico Community ...

Abstract: HRM depends on the output of predictive analytics by which the input achieves accurate data on employee hiring and retention. For enhancing the decision-making in the HR domain, this ...

The Governors Highway Safety Association (GHSA) and Cambridge Mobile Telematics (CMT) suggest advanced predictive analytics could prevent traffic deaths before they happen, according to the report, A ...

Traffic fatalities in the U.S. began to rise sharply in 2020. Safety organizations have attributed this to speeding, distracted driving and aggressive driving, coupled with a decline in traffic law ...

In this article, we will take a look at the 9 Best Predictive Analytics Stocks to Buy Right Now. Predictive analytics, often known as big data analytics, is growing to become an integral component of ...

Customer retention is a critical challenge for telecom companies, and understanding customer churn can significantly improve business strategies. This paper focuses on developing an accurate ...

Predictive maintenance success depends on more than just data collection—it requires accurate interpretation, expert engineering input, and alignment between digital insights and real plant conditions ...