Abstract: In recent years, there has been a growing interest in graph signal processing due to its capability to model and analyze irregular data generated by wireless sensor networks (WSNs).

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

Comprehensive Computational Neuroscience course materials (NYCU LSNS30045). Includes Python-based implementations of neural encoding models, spike-triggered averages, LIF & Hodgkin-Huxley simulations, ...

Abstract: This article is devoted to the stabilization of an uncertain reaction–diffusion equation with dynamic boundary conditions. The remarkable features of the system under investigation are ...