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Your search keyword '"Patroumpas, K."' showing total 9 results
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9 results on '"Patroumpas, K."'

1. Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events

Author

Vouros, G. A., 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., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, R. Luaces, Miguel, editor, and Karimipour, Farid, editor

Published
2018
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3. Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events

Author

Vouros, G. A., primary, Vlachou, A., additional, Santipantakis, G., additional, Doulkeridis, C., additional, Pelekis, N., additional, Georgiou, H., additional, Theodoridis, Y., additional, Patroumpas, K., additional, Alevizos, E., additional, Artikis, A., additional, Fuchs, G., additional, Mock, M., additional, Andrienko, G., additional, Andrienko, N., additional, Claramunt, C., additional, Ray, C., additional, Camossi, E., additional, and Jousselme, A.-L., additional

Published
2018
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4. Big data analytics for time critical maritime and aerial mobility forecasting

Author

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., and Cordero, J. M.

Subjects
QA75, GA
Abstract

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 advance the capacities of systems to improve safety and effectiveness of critical operations involving a large number of moving entities in large geographical areas, this paper describes progress achieved towards time critical big data analytics solutions to user-defined challenges in the air-traffic management and maritime domains. Besides, this paper presents further research challenges concerning data integration and management, predictive analytics for trajectory and events forecasting, and visual analytics.

Published
2018

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