Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
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 ...
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 ...
Boris Dzhingarov, founder of ESBO Ltd, leads a global Digital PR & SEO agency dedicated to enhancing brand awareness and visibility. A decade ago, loyalty programs were largely reactive affairs: You ...
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 genomics enhances breast cancer management by integrating predictive medicine, personal genomics, and translational bioinformatics for personalized care. Key applications include ...
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 ...
One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...
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