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Application of the JPDA-UKF to HFSW radars for maritime situational awareness.

, , , , and . FUSION, page 2585-2592. IEEE, (2012)

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Lessons for Radar., , and . IEEE Signal Process. Mag., 26 (1): 65-75 (2009)On the Use of Data from Multiple Mobile Network Operators in Europe to fight COVID-19., , , , and . CoRR, (2021)Application of the JPDA-UKF to HFSW radars for maritime situational awareness., , , , and . FUSION, page 2585-2592. IEEE, (2012)Automatic generation of geographical networks for maritime traffic surveillance., , and . FUSION, page 1-8. IEEE, (2014)Knowledge-based vessel position prediction using historical AIS data., , and . SDF, page 1-6. IEEE, (2015)Radiolocation and tracking of automatic identification system signals., , , , and . SSP, page 504-507. IEEE, (2014)SAR Ship Detection and Self-Reporting Data Fusion Based on Traffic Knowledge., , and . IEEE Geosci. Remote. Sens. Lett., 12 (8): 1685-1689 (2015)Summarizing Global SARS-CoV-2 Geographical Spread by Phylogenetic Multitype Branching Models., , , , and . CIBB, volume 13483 of Lecture Notes in Computer Science, page 170-184. Springer, (2021)AIS event-based knowledge discovery for Maritime Situational Awareness., , , , , , and . FUSION, page 1874-1880. IEEE, (2016)Discovering vessel activities at sea using AIS data: Mapping of fishing footprints., , , and . FUSION, page 1-7. IEEE, (2014)