This study followed a standardized machine learning workflow for model development and evaluation. The process commenced with data collection and preprocessing, followed by comprehensive feature ...

Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments. A real-world dataset ...

(a) Examples of three major ML model types: tree‐based models (e.g., random forests, gradient boosted trees), kernel‐based models (e.g., support vector machines, Gaussian processes), and deep learning ...