The code for the paper: Variable linear transformation improved physics-informed neural networks to solve thin-layer flow problems. $$ L_2RE_{\varphi} = \frac{ \sum ...

ABSTRACT: This paper investigates the computational solution to the problem of projectile motion under a significant linear drag effect. The drag force acting on the particle within the medium of ...

Abstract: This article presents a neurosymbolic framework to solve motion planning problems for mobile robots involving temporal goals. The temporal goals are described using temporal logic formulas, ...

Abstract: It is a challenging and attractive topic to extend the aperture dimension of linear arrays with convenient configuration for two-dimensional (2D) direction of arrival (DOA) estimation. In ...