Therefore, an efficient optimization algorithm is required. This paper proposes a novel and generic framework for single-objective machine design optimization using Gaussian process regression (GPR) ...

Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

Although machine learning (ML) techniques have advanced malware detection, they remain vulnerable to adversarial attacks. Current research primarily focuses on adversarial examples targeting single ML ...