Xue Li Enhancing Energy Storage Systems Through Battery State-of-Health Estimation and Intelligent Control Strategies

A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental ...
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 identification to improve prevention and management strategies. Traditional risk ...
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 ...
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Hosted on MSN

Python physics lesson 11: Exploring the importance of springs in physics

Welcome to Python Physics Lesson 11, where we explore the importance of springs in physics. This lesson dives into spring mechanics, oscillations, and energy transfer, showing how springs play a ...
TechRepublic

TIOBE Index for February 2026: Top 10 Most Popular Programming Languages

TIOBE Index for February 2026: Top 10 Most Popular Programming Languages Your email has been sent February’s TIOBE Index shows a leaderboard that looks steady at first glance, but small shifts beneath ...