IEEE

An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository

Abstract: The number of exploits of Docker images involving the injection of adversarial behaviors into the image’s layers is increasing immensely. Docker images are a fundamental component of Docker.
IEEE

X-Random Forest: An Explainable AI Framework for Early Stage Diabetes Prediction with Hyperparameter Tuning and Cross-validation

Abstract: Diabetes currently affects over 422 million people worldwide, presenting a significant global health challenge. While existing methods allow for the detection of diabetes through blood sugar ...
Frontiers

A lightweight cerebrospinal fluid biomarker-based model for first-diagnosis prediction of Parkinson’s disease: model development, external validation, and local deployment

Background: Despite substantial progress in biomarker research, Parkinson’s disease (PD) still lacks widely validated, easily deployable diagnostic tests for reliable early-stage detection, ...