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 ...

Machine learning models are only as valuable as the problems they solve. Among the most powerful classical algorithms available is the Support Vector Machine (SVM), a method known for its strong ...

Early detection is critical to improving outcomes across many diseases, yet cliniciansmust rapidly interpret heterogeneous signals, reports, and images. Automated analysis helps uncover subtle ...