An efficient automobile assembly state monitoring system based on channel-pruned YOLOv4 algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An efficient automobile assembly state monitoring system based on channel-pruned YOLOv4 algorithm

Published:2023-06-23 Issue: Volume: Page:1-11
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Jiang Daqi¹,Wang Hong¹,Lu Yanzheng¹

Affiliation:

1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2023.2228259

Reference16 articles.

1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Cited by 5 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. Application of machine learning-based algorithms to predict the stress-strain curves of additively manufactured mild steel out of its microstructural characteristics;Results in Engineering;2023-12

2. A Critical Review of Machine Learning Methods Used in Metal Powder Bed Fusion Process to Predict Part Properties;International Journal of Precision Engineering and Manufacturing;2023-10-07

3. Channel Pruning-Based Lightweight YOLOv5 for Pedestrian Object Detection;2023 5th International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT);2023-09-22

4. Special issue on machine learning in additive manufacturing;International Journal of Computer Integrated Manufacturing;2023-07-11

5. Compressive fatigue behavior of graded tantalum scaffolds produced by electron beam powder bed fusion;Journal of Materials Research and Technology;2023-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3