BrepMFR: Enhancing machining feature recognition in B-rep models through deep learning and domain adaptation-Reference-Cited by-同舟云学术

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BrepMFR: Enhancing machining feature recognition in B-rep models through deep learning and domain adaptation

Published:2024-06 Issue: Volume:111 Page:102318
ISSN:0167-8396
Container-title:Computer Aided Geometric Design
language:en
Short-container-title:Computer Aided Geometric Design

Author:

Zhang Shuming^ORCID,Guan Zhidong,Jiang Hao,Wang Xiaodong,Tan Pingan

Publisher

Elsevier BV

Reference59 articles.

1. “fabsearch”: a 3d cad model-based search engine for sourcing manufacturing services;Angrish;J. Comput. Inf. Sci. Eng.,2019

2. A theory of learning from different domains;Ben-David;Mach. Learn.,2010

3. Analysis of representations for domain adaptation;Ben-David,2006

4. Knowledge acquisition techniques for feature recognition in cad models;Brousseau;J. Intell. Manuf.,2008

5. Graph representation of 3d cad models for machining feature recognition with deep learning;Cao,2020

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Point cloud self-supervised learning for machining feature recognition;Journal of Manufacturing Systems;2024-12

2. An Agent-Based Method for Feature Recognition and Path Optimization of Computer Numerical Control Machining Trajectories;Sensors;2024-09-03

3. Research on and Application of Feature Recognition and Intelligent Retrieval Method for Multi-Component Alloy Powder Injection Molding Gear Based on Partition Templates;Metals;2024-05-14

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