Abstract: This paper considers the synchronization of reaction-diffusion complex-valued neural networks (RDCVNNs) based on event-triggered sampling iterative learning control (ET-SILC). An ...

Abstract: This study addresses the critical challenge of determining the minimally sufficient volume of initial data necessary for the accurate construction of operation-based technological time norms ...

Data centers create new jobs, use significantly less water than the clothing and beef industries, and don't drive up electricity rates. Data centers have become an essential part of powering our daily ...