An unsupervised learning method with convolutional auto-encoder for vessel trajectory similarity computation
Author:
Funder
State Key Laboratory of Resources and Environmental Information System
Publisher
Elsevier BV
Subject
Ocean Engineering,Environmental Engineering
Reference59 articles.
1. Estimated time of arrival using historical vessel tracking data;Alessandrini;IEEE Trans. Intell. Transport. Syst.,2018
2. Vessel trajectory prediction using historical automatic identification system data;Alizadeh;J. Navig.,2020
3. Lung pattern classification for interstitial lung diseases using a deep convolutional neural network;Anthimopoulos;IEEE Trans. Med. Imag.,2016
4. Maritime traffic networks: from historical positioning data to unsupervised maritime traffic monitoring;Arguedas;IEEE Trans. Intell. Transport. Syst.,2017
5. Deep-learning cardiac motion analysis for human survival prediction;Bello;Nat. Mach. Intell.,2019
Cited by 81 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. A spatial-temporal attention method for the prediction of multi ship time headways using AIS data;Ocean Engineering;2024-11
2. A novel vessel trajectory feature engineering for fishing vessel behavior identification;Ocean Engineering;2024-10
3. A data mining-then-predict method for proactive maritime traffic management by machine learning;Engineering Applications of Artificial Intelligence;2024-09
4. Comparative evaluation of VAE-based monitoring statistics for real-time anomaly detection in AIS data;Maritime Policy & Management;2024-08-21
5. A hybrid deep learning method for the prediction of ship time headway using automatic identification system data;Engineering Applications of Artificial Intelligence;2024-07
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