IEEE

Series Arc Fault Identification Based on a Novel Newton-Optimized Sparse Kernel Support Vector Machine

Abstract: Existing machine learning-based methods for series arc fault (SAF) identification still suffer from slow training speed when dealing with large-scale SAF datasets. For this reason, we ...
IEEE

Hybrid Kernel Support Vector Machine Model for Predicting Regional Economic Development based on Socio-Economic Indicators

Abstract: Regional economic development level prediction is a key function for economic policymakers and analysts to provide resources and promote sustainable growth. This study suggests an SVM with ...
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 ...