Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alexandros Troupiotis-Kapeliaris"'
Publikováno v:
IEEE Access, Vol 12, Pp 3860-3873 (2024)
The task of accurately forecasting the trajectory of a vessel, and in general a moving object operating in free space until its destination remains an open challenge. This paper addresses this problem by describing an unsupervised data-driven framewo
Externí odkaz:
https://doaj.org/article/0da39076ca8c46e5a1f9980c4f316790
Autor:
Alexandros Troupiotis-Kapeliaris, Dimitris Zissis, Konstantina Bereta, Marios Vodas, Giannis Spiliopoulos, Giannis Karantaidis
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5080 (2023)
Density maps support a bird’s eye view of vessel traffic, through providing an overview of vessel behavior, either at a regional or global scale in a given timeframe. However, any inaccuracies in the underlying data, due to sensor noise or other fa
Externí odkaz:
https://doaj.org/article/992b3b69c9f04c15add3713242af839a
Publikováno v:
Proceedings of the 12th Hellenic Conference on Artificial Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::520bbdf2fe7812735d8652235893d74c
https://doi.org/10.1145/3549737.3549801
https://doi.org/10.1145/3549737.3549801
Autor:
Alexandros Troupiotis-Kapeliaris, Nicolas Zygouras, Manolis Kaliorakis, Spiros Mouzakitis, Giannis Tsapelas, Alexander Artikis, Eva Chondrodima, Yannis Theodoridis, Dimitris Zissis
Digital twins are computational models that replicate the structure, behaviour and overall characteristics of a physical asset in the digital world. In the maritime domain, conventional approaches have relied on mathematical modeling (e.g., linearise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e74f92b528b182b446e79abd8119a44
https://doi.org/10.3233/pmst220087
https://doi.org/10.3233/pmst220087
Autor:
Konstantinos Chatzikokolakis, Alexandros Troupiotis-Kapeliaris, Elias Alevizos, Dimitris Zissis
Publikováno v:
MDM
Complex Event Processing (CEP) ’s main purpose is recognizing interesting phenomena upon streams of data. So it is only natural that it would find applications in the maritime domain, where detecting vessel activity plays an important role in monit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f803c2394ab8cc41e9931f0231204bb
https://doi.org/10.5281/zenodo.3886343
https://doi.org/10.5281/zenodo.3886343