GitHub

Graph Neural Network for Heat Transfer Problem

[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.
GitHub

carbonvibes/Second-Order-Systems_MATLAB-App

This MATLAB app provides an interactive way to analyze transfer functions, offering features to display Bode plots, step responses, and pole-zero diagrams. A slider allows users to dynamically modify ...
Frontiers

A brain functional network feature extraction method based on directed transfer function and graph theory for MI-BCI decoding tasks

Background: The development of Brain-Computer Interface (BCI) technology has brought tremendous potential to various fields. In recent years, prominent research has focused on enhancing the accuracy ...
Nature

Comparison of two generalized transfer functions for measuring central systolic blood pressure by an oscillometric blood pressure monitor

The study protocols were approved by the Institutional Review Board at Taipei Veterans General Hospital, Taiwan, and adhered to the principles of the Declaration of Helsinki. Written informed consents ...
IEEE

Blind Estimation of Acoustic Transfer Functions using Convolutive Transfer Functions with Application to Dereverberation

Abstract: Array signal processing algorithms based on Acoustic Transfer Functions (ATFs) generally provide better results than Relative Transfer Functions (RTFs). However, direct estimation of ATFs is ...
IEEE

Interaction Modeling and Stability Analysis of Grid-Forming Energy Storage System Based on SISO Transfer Functions

Abstract: With the rapid expansion of photovoltaic (PV), grid-forming energy storage systems (GFM-ESS) have been widely employed for inertia response and voltage support to enhance the dynamic ...