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

Time Series Forecasting for Solar Power Generation using Support Vector Regression with Extreme Gradient Boosting

Abstract: In modern era, time series forecasting plays a crucial role in Solar Power Generation (SPG), by allowing the prediction of future energy output using past power and weather data for grid ...
IEEE

Lung Capacity Prediction via Support Vector Regression with SHAP Interpretation

Lung capacity, also referred to as vital capacity, is a crucial biomarker for diagnosing lung function. In resource-limited environments, it is often necessary to estimate lung capacity through ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...