File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

김성일

Kim, Sungil
Data Analytics Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Comparative evaluation of VAE-based monitoring statistics for real-time anomaly detection in AIS data

Author(s)
Oh, YongKyungYoon, KwoninPark, JaeminKim, Sungil
Issued Date
2023-09-06
URI
https://scholarworks.unist.ac.kr/handle/201301/74554
Fulltext
http://logms2023.com/home/
Citation
The 11th International Conference on Logistics and Maritime Systems
Publisher
Logistics and Maritime Systems

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.