AlphaGalileo

Novel Method Identifies Critical Lines in Renewable-Dominant Hybrid AC/DC Power Systems

In renewable-dominant hybrid alternating current/direct current (AC/DC) power systems, cascading failures pose significant threats to security and stability, severely limiting the active power ...
Devdiscourse

AI and machine learning drive digital transformation across global mining operations

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
Devdiscourse

Advanced AI model pushes aviation toward data-driven decarbonization

Researchers have developed an advanced artificial intelligence (AI) framework designed to significantly improve the forecasting of carbon dioxide emissions in the aviation sector. ACGRIME is an ...
The American Journal of Managed Care

Machine Learning May Enable Earlier Detection of CKD Risk Factors

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
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

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 ...