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TITLE: Novel Cluster Modeling for the Spatiotemporal Analysis of Coastal Upwelling
AUTHORS: Nascimento, Susana; Martins, Alexandre; Relvas, Paulo; Luis, Joaquim F. ; Mirkin, Boris;
PUBLISHED: 2022, SOURCE: 21st EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2022, VOLUME: 13566
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
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16
TITLE: The structure of incipient coastal counter currents in South Portugal as indicator of their forcing agents  Full Text
AUTHORS: De Oliveira, L ; Garel, E ; Relvas, P;
PUBLISHED: 2021, SOURCE: JOURNAL OF MARINE SYSTEMS, VOLUME: 214
INDEXED IN: Scopus WOS
17
TITLE: Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images
AUTHORS: Nascimento, S; Mateen, S; Relvas, P;
PUBLISHED: 2020, SOURCE: 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12490 LNCS
INDEXED IN: Scopus CrossRef: 2
IN MY: ORCID
19
TITLE: Impacts of sand extraction and deposition on the ecosystem recovery rate in the southern coastal zone of Portugal
AUTHORS: Teresa Drago; Rui Taborda; Sebastião Teixeira; Marcos Rosa; João Pedro Cascalho; Miriam Tuaty-Guerra; Maria José Gaudêncio; Jorge Gonçalves; Paulo Relvas; Erwan Garel ; Luciano Júnior ; Victor Henriques; Pedro Terrinha; Jorge Arteaga; Ana Ramos;
PUBLISHED: 2020
INDEXED IN: CrossRef
IN MY: ORCID
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