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 ...
Technology Networks

Proteomics Database Searching 101: Principles and Best Practices

Master proteomics database searching. Learn how algorithms match mass spectra to sequences and optimize identification.
Technology Networks

Machine Learning Applications in Proteomics

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Enhancing Cardiovascular Risk Prediction Using Support Vector Machines and Advanced Machine Learning Algorithms

Abstract: A major cause of illness and mortality on a global scale is Cardiovascular Disease (CVD). Ensuring timely response and efficient management requires precise risk prediction. This study ...