Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), ...
IEEE

Gradient Boosting Techniques for Analyzing DDoS Attacks in IoT Networks

Abstract: The detection and Prevention of distributed-denial-of-service (DDoS) Cyberattacks is one of the primary concerns in network security. This kind of attack overloaded target systems with ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
IEEE

Enhancing the Electricity Theft Detection using Extreme Gradient Boosting with Optuna Optimization in Smart Grid

Abstract: Electricity theft poses significant challenges to power utilities, leading to considerable financial losses and operational inefficiencies. This study introduces an innovative approach ...