Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Andreas Tritsarolis"'
Autor:
Panagiotis Tampakis, Eva Chondrodima, Andreas Tritsarolis, Aggelos Pikrakis, Yannis Theodoridis, Kostis Pristouris, Harry Nakos, Panagiotis Kalampokis, Theodore Dalamagas
Publikováno v:
Geo-spatial Information Science, Vol 0, Iss 0, Pp 1-23 (2021)
The i4sea research project provides effective and efficient big data integration, processing, and analysis technologies to deliver both real-time and historical operational snapshots of fishing vessels activity in national sea areas. This paper prese
Externí odkaz:
https://doaj.org/article/3f2cb1cfb384407795ae9f136ab0fc32
Publikováno v:
Data in Brief, Vol 40, Iss , Pp 107782- (2022)
The advent of Big Data and streaming technologies has resulted in a swarm of voluminous, heterogeneous information, especially in the domains of Internet of Things (IoT) and transportation. Focusing on the maritime field, in this paper, we present a
Externí odkaz:
https://doaj.org/article/5679749d0089467faef243a5825f879d
Autor:
Yannis Theodoridis, Kostis Pristouris, Panagiotis Kalampokis, Aggelos Pikrakis, Andreas Tritsarolis, Panagiotis Tampakis, Theodore Dalamagas, Harry Nakos, Eva Chondrodima
Publikováno v:
Geo-spatial Information Science, Vol 0, Iss 0, Pp 1-23 (2021)
The i4sea research project provides effective and efficient big data integration, processing, and analysis technologies to deliver both real-time and historical operational snapshots of fishing vessels activity in national sea areas. This paper prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9670b4c824d2ab9670d5b22afdf37c47
https://doi.org/10.1080/10095020.2021.1971055
https://doi.org/10.1080/10095020.2021.1971055
Autor:
Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis, Aggelos Pikrakis, Yannis Theodoridis
Publikováno v:
GeoInformatica.
Predictive analytics over mobility data is of great importance since it can assist an analyst to predict events, such as collisions, encounters, traffic jams, etc. A typical example is anticipated location prediction, where the goal is to predict the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b09c6ce49cda64e5c7aefb15ec85a9da
https://doi.org/10.1007/s10707-022-00478-x
https://doi.org/10.1007/s10707-022-00478-x
Publikováno v:
International Journal of Geographical Information Science. 35:819-845
The advent of GPS technologies generates location data-streams and accentuates the importance of developing practical tools that can process and analyze the vast amounts of location data at a given...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dd42d61d1832ee9bac5ecb9a6f647b9
https://doi.org/10.1080/13658816.2020.1834562
https://doi.org/10.1080/13658816.2020.1834562
Publikováno v:
3rd IEEE International Maritime Big Data Workshop of the 23rd MDM Conference, Paphos, Cyprus, June 6, 2022
The wide spread of Automatic Identification System (AIS) and tools based on it has motivated several maritime analytics operations. One of the most critical operations for the purpose of maritime safety is the so-called Vessel Collision Risk Assessme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c26259fcb1a12664c83c24ccfdc9f64
Publikováno v:
2021 22nd IEEE International Conference on Mobile Data Management (MDM)
MDM
MDM
In this demo paper we present ST_VISIONS, an easy-to-use Python library for interactive visualizations of spatial and spatio-temporal datasets. By automating the low-level details of the underlying visualization library (Bokeh), ST_VISIONS allows dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::540d09e536670a56cc441f8db4d32a22
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030380809
MASTER@PKDD/ECML
MASTER@PKDD/ECML
In this paper, we propose a novel unified online group pattern mining algorithm, EvolvingClusters, that aims to enrich geospatial data through the mapping of their group behaviour. Specifically, EvolvingClusters is used to discover collective movemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf06be621e31cae13005d869f72c179c
https://doi.org/10.1007/978-3-030-38081-6_5
https://doi.org/10.1007/978-3-030-38081-6_5