Beyond 3-D: Data scientists introduce novel AI tool to interpret complex biological data

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
IEEE

Data Security Utilizing a Memristive Coupled Neural Network in 3D Models

Abstract: This article proposes a novel double data security algorithm that first encrypts sensitive data using a two-stage encryption method based on numerical solutions from a fractional-order ...
IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
GitHub

CIGVis - a tool for visualizing multidimensional geophysical data

cigvis is a tool for visualizing multidimensional geophysical data, developed by the Computational Interpretation Group (CIG). Users can quickly visualize data with just a few lines of code. cigvis ...
GitHub

Unveil the Relationship Between Process and Design Embedded in the 3D Point Cloud Using Unsupervised Learning

This repository contains the code for the paper "Unveil the relationship between process and design embedded in the 3D point cloud using unsupervised learning" by Evans Nyanney and Zhaohui Geng. It ...