Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

An emerging approach in AI innovation is hybrid AI, which combines the scalability of machine learning (ML) with the ...

The predictive analytics market within the banking sector has been witnessing substantial growth in recent years, fueled by the increasing adoption of data-driven decision-making processes and the ...

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...

On Thursday, Oct. 23, the Whiting School of Engineering’s Department of Computer Science hosted Aaron Roth, a professor of ...

Sharpen your Mains answer-writing skills with GS-3 questions by following the thought process. Do not miss points to ponder ...