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 ...
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

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
IEEE

Comparative Evaluation of Machine Learning Models for Intrusion Detection on the CIC-IDS Dataset

Abstract: The exponential growth of networked systems has heightened the need for solid intrusion detection systems (IDSs) capable of detecting malicious behavior with high confidence. It compares ...
GitHub

Titanic Machine Learning from Disaster Survival Prediction Dataset

Problem Formulation: Treats this as a classification task where the model learns to predict categories/classes based on input features. Model Selection: After evaluating multiple algorithms, XGB was ...