Amanda M. Castro is a Network TV writer at Collider and a New York–based journalist whose work has appeared in Newsweek, where she is an Associate Editor, and The U.S. Sun, where she previously served ...

Abstract: To accurately and robustly solve electromagnetic inverse scattering problems (ISPs), a physics-constrained neural network (PCNN) method is proposed in this work. The method adopts the Born ...

Abstract: This paper presents a comprehensive review of the AIM 2025 Challenge on Inverse Tone Mapping (ITM). The challenge aimed to push forward the development of effective ITM algorithms for HDR ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...