• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Yao, Feiyi (Yao, Feiyi.)

Indexed by:

EI Scopus

Abstract:

The analysis and prediction of ship trajectory based on shipping big data is a research hotspot in the shipping industry, which helps the port and shipping industry to explore and discover new business opportunities, create new industrial value, and enhance the competitiveness of shipping enterprises. In this paper, a ship trajectory analysis and prediction system is proposed, and the key technologies including standard trajectory association technology, historical pattern mining technology, anomaly detection technology, trajectory analysis and prediction technology, and target entity relationship prediction technology based on deep learning, are analyzed. © 2023 IEEE.

Keyword:

Engineering education Competition Industrial research Anomaly detection Deep learning Forecasting Ships Trajectories

Author Community:

  • [ 1 ] [Yao, Feiyi]Beijing University of Technology, Faculty of Information Technology, Beijing, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2023

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

Affiliated Colleges:

Online/Total:286/10507500
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.