3 papers
cs.LG2025
Loop2Net: Data-Driven Generation and Optimization of Airfoil CFD Meshes from Sparse Boundary Coordinates
Lushun Fan, Yuqin Xia, Jun Li +1
In this study, an innovative intelligent optimization system for mesh quality is proposed, which is based on a deep convolutional neural network architecture, to achieve mesh gener…
physics.comp-ph2025
AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks
Lushun Fan, Yuqin Xia, Jun Li +1
This study explores the possibilities of automating the loading, classification and assessment of Computational Fluid Dynamics (CFD) mesh data by Convolutional Neural Networks (CNN…
cs.CV2024
Feature Map Similarity Reduction in Convolutional Neural Networks
Zakariae Belmekki, Jun Li, Patrick Reuter +2
It has been observed that Convolutional Neural Networks (CNNs) suffer from redundancy in feature maps, leading to inefficient capacity utilization. Efforts to address this issue ha…