IEEE

Inverse Design of Frequency Selective Surface Using Physics-Informed Neural Networks

Abstract: This paper uses Physics-Informed Neural Network (PINN) to design Frequency Selective Surface (FSS). PINN integrates physical information into the loss function, so training PINN does not ...
IEEE

Inverse Kinematic Solution Using Neural Networks for Multimodal Inputs and Optimization in Constrained Workspace

Abstract: Kinematics is a fundamental aspect of robotics that deals with the position and orientation of a robotic system. It comprises forward kinematics (FK) and inverse kinematics (IK). While FK is ...