Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Nikos Pelekis"'
Publikováno v:
International Journal of Information Management Data Insights, Vol 2, Iss 2, Pp 100086- (2022)
Accurate prediction of Public Transport (PT) mobility is important for intelligent transportation. Nowadays, mobility data have become increasingly available with the General Transit Feed Specification (GTFS) being the format for PT agencies to disse
Externí odkaz:
https://doaj.org/article/5a6220091add4fb68530a333adfc27bb
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 24:4872-4888
Forecasting vessel locations is of major importance in the maritime domain, with applications in safety, logistics, etc. Nowadays, vessel tracking has become possible largely due to the increased GPS-based data availability. This paper introduces a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8a828abdd22ace56b41e5393efc72a3
https://doi.org/10.1109/tits.2023.3247993
https://doi.org/10.1109/tits.2023.3247993
Publikováno v:
ACM SIGMOD Record
In the current era of big spatial data, the vast amount of produced mobility data (by sensors, GPS-equipped devices, surveillance networks, radars, etc.) poses new challenges related to mobility analytics. A cornerstone facilitator for performing mob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1aa84c7ede646d3bb99ff772c70a032c
https://doi.org/10.1145/3484622.3484626
https://doi.org/10.1145/3484622.3484626
Autor:
Fragkiskos Gryllakis, Nikos Pelekis, Christos Doulkeridis, Iraklis Varlamis, Yannis Theodoridis
Publikováno v:
34th International Conference on Scientific and Statistical Database Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f2a32ba245e9718a02d338b6541b260
https://doi.org/10.1145/3538712.3538716
https://doi.org/10.1145/3538712.3538716
Autor:
Christos Doulkeridis, Nikos Pelekis, Akrivi Vlachou, Apostolos Glenis, Georgios M. Santipantakis, Kostas Patroumpas, George A. Vouros, Yannis Theodoridis
Publikováno v:
Future Generation Computer Systems
An ever-increasing number of applications in critical domains, such as maritime and aviation, generate, collect, manage and process spatio-temporal data related to the mobility of entities. This wealth of data can be exploited for various purposes, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c54122e80401b759985c544b26905123
https://doi.org/10.1016/j.future.2018.07.007
https://doi.org/10.1016/j.future.2018.07.007
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:
Machine Learning, Optimization, and Data Science ISBN: 9783030954697
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a12fa36183899a0a45258a123c156adc
https://doi.org/10.1007/978-3-030-95470-3_36
https://doi.org/10.1007/978-3-030-95470-3_36
Autor:
Nikos Pelekis, Dimitris Spyrellis, Panagiotis Tampakis, Akrivi Vlachou, Christos Kalyvas, Christos Doulkeridis
Publikováno v:
SSTD
Spatial-keyword queries are important for a wide range of applications that retrieve data based on a combination of keyword search and spatial constraints. However, efficient processing of spatial-keyword queries is not a trivial task because the com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c997adcbcc03dd4af03772db266bf91d
https://doi.org/10.1145/3469830.3470897
https://doi.org/10.1145/3469830.3470897
Publikováno v:
International Journal of Data Science and Analytics. 9:215-228
Aircraft trajectory prediction (TP) is a challenging and inherently data-driven time-series modeling problem. Adding annotation or enrichment parameters further increases the search space complexity, especially when ‘blind’ optimization algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::338e1bf6439149bf6025a7397cff017d
https://doi.org/10.1007/s41060-019-00182-4
https://doi.org/10.1007/s41060-019-00182-4
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