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 ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

TourPredict is a predictive modeling project that analyzes the impact of environmental factors on tourism resource allocation. Using data on temperature, air quality, noise levels, and visitor ...

The fundamental technique has been studied for decades, thus creating a huge amount of information and alternate variations that make it hard to tell what is key vs. non-essential information.

After starting to learn Python late last year, I’ve found myself putting into practice what I’ve been learning more and more for my daily tasks as an SEO professional. This ranges from fairly simple ...

A system that is capable of automatically irrigating the agricultural field by sensing the parameters of soil in real-time and predicting crop based on those parameters using machine learning. The ...

The concept of machine learning has somewhat become a fad as late, with companies from small start-ups to large enterprises screaming to be technologically enabled through the quote on quote, ...