| Title |
Detecting Maritime traffic anomalies with long-short term memory recurrent neural network / |
| Authors |
Venskus, Julius ; Treigys, Povilas ; Bernatavičienė, Jolita ; Markevičiūtė, Jurgita |
| DOI |
10.15388/Proceedings.2019.8 |
| ISBN |
9786090703243 |
| eISBN |
9786090703250 |
| Full Text |
|
| Is Part of |
11th international workshop on data analysis methods for software systems (DAMSS 2019), Druskininkai, Lithuania, November 28-30, 2019 / Lithuanian Computer Society, Vilnius University Institute of Data Science and Digital Technologies, Lithuanian Academy of Sciences.. Vilnius : Vilnius University Press, 2019. p. 89.. ISBN 9786090703243. eISBN 9786090703250 |
| Keywords [eng] |
Maritime traffic anomalies ; neural network ; long-short term memory |
| Published |
Vilnius : Vilnius University Press, 2019 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2019 |
| CC license |
|
