IEEE

A Two-Stage Anomaly Detection Framework for Improved Healthcare Using Support Vector Machines and Regression Models

Abstract: This paper presents an effective two-stage anomaly detection technique for wireless body area networks (WBANs)-based personalized healthcare monitoring. Our method uses SMO regression ...
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 ...