Home

surface mesh analysis machine learning, Predicting stress, strain and deformation fields and structures graph neural | Scientific Reports, 3D surface reconstruction of cryo-soft X-ray microscopy tomograms using semisupervised deep learning | PNAS

and Grid Types MR
A mesh optimization method using learning technique and mesh - ScienceDirect
Sensors Free Full-Text | Deep Neural for 3D Shape Classification on Mesh Feature
Enhancing computational dynamics with machine learning | Nature Computational Science
ISpliter: an intelligent and automatic surface mesh generator using neural networks and lines | Advances in Aerodynamics | Full Text
Pseudo curvature analysis on meshes | Analysis, Mesh
fingerprints from protein molecular using geometric deep learning | Methods
Intro to 3D Deep Learning. data representation, vision tasks… | by Margaret Maynard-Reid | Towards Data Science
Deep learning surface-based neuroimage analysis: a systematic ScienceDirect
Predicting stress, strain and deformation fields and structures graph neural | Scientific Reports
A mesh optimization method using learning technique and mesh - ScienceDirect
3D Object Classification and Segmentation with MeshCNN and PyTorch by | Towards Data Science
Sensors Free Full-Text | Deep Neural for 3D Shape Classification on Mesh Feature
A mesh optimization method using learning technique and mesh - ScienceDirect
Polygonal processing and mesh generation tools for the numerical simulation of the cardiac function - Fedele - 2021 - International Journal for Numerical Methods in Biomedical Engineering - Wiley Online Library
3D Object | With Code
Frontiers Geometric Convolutional Network for Analyzing Surface-Based Neuroimaging Data
Analysis of the UV–Vis Spectra for Gold Nanoparticles Powered Supervised Machine Learning | The Journal of Chemistry C
A for whole-heart reconstruction - ScienceDirect
IJGI Free Full-Text | Surface Reconstruction Three-Dimensional Rockfall Volumetric Analysis
Deep Learning on 3D Meshes | By Aurel Diederichs & Anya Fries as part the Stanford CS224W course | Stanford CS224W GraphML Tutorials
Steps to Improve FEA Models | Ansys
CFD Multiphase Modeling to Bioreactor Performance | Pharmaceutical Engineering
Prediction of grain structure after thermomechanical processing of U-10Mo alloy using sensitivity analysis and machine learning | Scientific Reports
Research: Neural Reflectance Field Textures | NVIDIA Technical Blog
3D surface reconstruction of cryo-soft X-ray microscopy tomograms using semisupervised deep learning | PNAS