Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: To address the tracking error issue in finite control set model predictive control (FCS-MPC) systems, this article proposes an online optimization MPC ...

Abstract: In the backdrop of an increasingly pressing need for effective urban and highway transportation systems, this work explores the synergy between model-based and learning-based strategies to ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

The market will have many changes with local data sovereignty laws, AI integration, and green infrastructure. For businesses targeting Sydney audiences, choose VPS hosting Australia to get the lowest ...

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 ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

Stock Risk Analyzer is an open-source application designed to help investors, traders, and financial analysts assess the risk levels of stocks using machine learning techniques. By leveraging ...