Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Camossi E"'
Autor:
Vouros, G., Doulkeridis, C., Santipantakis, G., Vlachou, A., Pelekis, N., Georgiou, H., Theodoridis, Y., Patroumpas, K., Alevizos, E., Artikis, A., Fuchs, G., Mock, M., Andrienko, G., Andrienko, N., Ray, C., Claramunt, C., Camossi, E., Jousselme, A-L., Scarlatti, D., Cordero, J. M.
The correlated exploitation of heterogeneous data sources offering very large archival and streaming data is important to increase the accuracy of computations when analysing and predicting future states of moving entities. Aiming to significantly ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::7569dc4690835ff2d240cf81161f50b1
https://openaccess.city.ac.uk/id/eprint/22887/1/paper-343.pdf
https://openaccess.city.ac.uk/id/eprint/22887/1/paper-343.pdf
Autor:
Vouros, G., Vlachou, A., Santipantakis, G., Doulkeridis, C., Pelekis, N., Georgiou, H., Theodoridis, Y., Patroumpas, K., Alevizos, E., Artikis, A., Fuchs, G., Mock, M., Andrienko, G., Andrienko, N., Claramunt, C., Ray, C., Camossi, E., Jousselme, A-L.
The research presented in this paper aims to show the deployment and use of advanced technologies towards processing surveillance data for the detection of events, contributing to maritime situation awareness via trajectories’ detection, synopses g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::1d014bf195e90b7caec5bcda01209eaa
https://openaccess.city.ac.uk/id/eprint/20034/1/datacron-paper.pdf
https://openaccess.city.ac.uk/id/eprint/20034/1/datacron-paper.pdf
Autor:
Camossi, E.1 (AUTHOR) elena.camossi@ge.imati.cnr.it, Bertolotto, M.2 (AUTHOR) michela.bertolotto@ucd.ie, Bertino, E.3 (AUTHOR) bertino@cs.purdue.edu
Publikováno v:
International Journal of Geographical Information Science. May2006, Vol. 20 Issue 5, p511-534. 24p. 3 Diagrams, 4 Charts, 2 Maps.
Autor:
Claramunt, C., Ray, C., Salmon, L., Camossi, E., Hadzagic, M., Jousselme, A-L., Andrienko, G., Andrienko, N., Theodoridis, Y., Vouros, G.
Publikováno v:
EDBT 2017
The correlated exploitation of heterogeneous data sources offering very large historical as well as streaming data is important to increasing the accuracy of computations when analysing and predicting future states of moving entities. This is particu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0efc9d19a2d0c6f2ba413c17c2b40fb6
Publikováno v:
International journal of geographical information science
20 (2006): 511–534.
info:cnr-pdr/source/autori:Camossi E., Bertolotto M., Bertino E./titolo:A multigranular object-oriented framework supporting spatiotemporal granularity conversions/doi:/rivista:International journal of geographical information science (Print)/anno:2006/pagina_da:511/pagina_a:534/intervallo_pagine:511–534/volume:20
20 (2006): 511–534.
info:cnr-pdr/source/autori:Camossi E., Bertolotto M., Bertino E./titolo:A multigranular object-oriented framework supporting spatiotemporal granularity conversions/doi:/rivista:International journal of geographical information science (Print)/anno:2006/pagina_da:511/pagina_a:534/intervallo_pagine:511–534/volume:20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::78a34eaf35fd4bb1c10d56eedcf30860
https://publications.cnr.it/doc/31145
https://publications.cnr.it/doc/31145
Autor:
Signell, R. P., Camossi, E.
Publikováno v:
Ocean Science Discussions; 2015, Vol. 12 Issue 6, p2655-2682, 28p
Publikováno v:
Proceedings Ninth International Symposium on Temporal Representation & Reasoning; 2002, p78-85, 8p
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