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 ...

Abstract: Implementing data-driven model predictive control in dynamical system control is challenging due to the need for precise data management, real-time computation, and effective user ...

The introduction of a state-approved messaging app has raised fears that Russia could be preparing to block WhatsApp and Telegram. By Paul Sonne Reporting from Berlin Russia is escalating its efforts ...

Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...

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 ...

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 ...