Frontiers

MLGCN: an ultra efficient graph convolutional neural model for 3D point cloud analysis

1 Department of Computational Science and Engineering, McMaster University, Hamilton, ON, Canada 2 Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, QC, Canada With the rapid ...
GitHub

MJK30/3D-CFD-Surrogate-Modeling-with-Regression-Dynamic-Graph-CNN

This project implements a Regression Dynamic Graph-Based CNN Model (RegDGCNN) to predict the pressure distribution over 3D geometries using Point Cloud Data. Data combines the mesh details with the ...
GitHub

VaishnevSreejeev/GRAPH-BASED-CELLULAR-MODELING-A-TRANSFORMER-APPROACH-TO-BIOLOGICAL-CELL-SIMULATION

This project implements a graph transformer model that predicts how Mycoplasma genitalium cells respond to osmotic stress using 3D structural data as positional encodings. The model integrates data ...
eeworldonline

Capacitive sensors feature integrated LED bar graph and IO-Link protocol

Carlo Gavazzi Automation has introduced two new capacitive sensor series: the CA18CB..IO and CA30CB..IO. These sensors feature an integrated LED bar graph and IO-Link communication capabilities. The ...