Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Washington Square News

NYU Langone researchers use AI to predict post-discharge treatment

NYU Langone researchers developed an artificial intelligence tool that identifies which patients will require additional ...
IEEE

Deadbeat Predictive Current Control of DC-Biased-VRM Based on Extended State Observer With Coupling Disturbance Compensation

Abstract: This paper proposes a deadbeat predictive current control (DPCC) of DC-biased vernier reluctance machine (DC-biased-VRM) based on extended state observer (ESO) with coupling disturbance ...

2026 Cognizant Classic odds, picks: Surprising predictions by golf model that's called 16 majors

Mike McClure's model has simulated the 2026 Cognizant Classic in the Palm Beaches 10,000 times and revealed best bets ...

Buyer’s Practical Guide to Selecting China Industrial Loading Arms for Oil and Chemical Facilities

LIANYUNGANG, JIANGSU, CHINA, February 13, 2026 /EINPresswire.com/ -- The global petrochemical and energy landscape is ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
IEEE

AI-Driven Predictive Modeling for Early Detection and Progression Monitoring of Chronic Kidney Disease Using Multimodal Data

Abstract: Chronic kidney disease (CKD) is a critical global health issue that can lead to end-stage renal failure if not diagnosed and managed early. Early detection and continuous monitoring of CKD ...