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

Utilizing Random Forests for High-Accuracy Classification in Medical Diagnostics

Abstract: In recent years, medical diagnostics has increasingly relied on machine learning techniques to improve accuracy and efficiency. Among these, the Random Forest algorithm has emerged as a ...
Hosted on MSN

Random package with QR codes may be a scheme, FBI says

WUSA-TV Washington, D.C. Posted: December 16, 2025 | Last updated: December 16, 2025 Get a package that you didn't order? You may not want to scan the QR code inside. The FBI says it could be a scheme ...
openaccessgovernment

Leveraging machine learning and robust small area estimation methods for stand-level forest inventory

This special report introduces small area estimation (SAE) as a modern approach for producing reliable, stand-level forest inventory information Small area estimation (SAE) is a set of statistical ...