Building on prior lightweight CNN model combined with LSTM-AM framework to guide fault detection in fixed-wing UAVs-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Building on prior lightweight CNN model combined with LSTM-AM framework to guide fault detection in fixed-wing UAVs

Published:2024-06-05 Issue:9 Volume:15 Page:4175-4191
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Kumar Aakash,Wang Shifeng,Shaikh Ali Muhammad,Bilal Hazrat,Lu Bo,Song Shigeng

Funder

International Cooperation Foundation of Jilin Province

111 Project of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13042-024-02141-3.pdf

Reference60 articles.

1. Zhao Y, Ma J, Li X, Zhang J (2018) Saliency detection and deep learning-based wildfire identification in UAV imagery. Sensors 18:712. https://doi.org/10.3390/s18030712

2. Sibanyoni SV, Ramotsoela DT, Silva BJ, Hancke GP (2019) A 2-D acoustic source localization system for drones in search and rescue missions. IEEE Sens J 19:332–341. https://doi.org/10.1109/JSEN.2018.2875864

3. Li M, Zhen L, Wang S et al (2018) Unmanned aerial vehicle scheduling problem for traffic monitoring. Comput Ind Eng 122:15–23. https://doi.org/10.1016/j.cie.2018.05.039

4. James AT, Kumar G, Khan AQ, Asjad M (2022) Maintenance 4.0: implementation challenges and its analysis. Int J Quality Reliabil Manage 40:1706–1728. https://doi.org/10.1108/IJQRM-04-2021-0097

5. Cortés-Leal A, Cárdenas C, Del-Valle-Soto C (2022) Maintenance 5.0: towards a worker-in-the-loop framework for resilient smart manufacturing. Appl Sci 12:11330. https://doi.org/10.3390/app122211330

Cited by 1 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. Advancing automated street crime detection: a drone-based system integrating CNN models and enhanced feature selection techniques;International Journal of Machine Learning and Cybernetics;2024-08-20

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