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 ...

A machine learning web application that predicts resale flat prices in Singapore using historical HDB data. Built with Scikit-learn and Streamlit, the app helps buyers and sellers estimate market ...

The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements and uses visual data. When you purchase through links on our site, we may ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

Predictive maintenance and virtual twins are no longer aspirations for the future. They are necessities for manufacturers who want to stay competitive. Manufacturing is entering a transformative era ...

Understanding Google Analytics 4 (GA4) isn’t optional – it’s essential for running high-performing PPC campaigns. The interface? Confusing. The modeling? New. The terminology? Often unclear. But ...

This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...