Abstract: The increasing variety of products has resulted in a rise in production errors, primarily due to more complexity in manufacturing processes. This paper proposes a data-driven inline ...

Abstract: In this research, we present a novel method for solving non-linear, time-dependent partial differential equations (PDEs) using active learning combined with Gaussian Process Regression (GPR) ...