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1 Ergebnisse
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Deep Learning-Based Approaches for Oil Spill Detection: A B..:
Rodrigo N. Vasconcelos
;
André T. Cunha Lima
;
Carlos A. D. Lentini
...
https://www.mdpi.com/2077-1312/11/7/1406. , 2023
Link:
https://doi.org/10.3390/jmse11071406
RT Journal T1
Deep Learning-Based Approaches for Oil Spill Detection: A Bibliometric Review of Research Trends and Challenges
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:8025e4154e424cc783da56f760743ee8&Exemplar=1&LAN=DE A1 Rodrigo N. Vasconcelos A1 André T. Cunha Lima A1 Carlos A. D. Lentini A1 José Garcia V. Miranda A1 Luís F. F. de Mendonça A1 José M. Lopes A1 Mariana M. M. Santana A1 Elaine C. B. Cambuí A1 Deorgia T. M. Souza A1 Diego P. Costa A1 Soltan G. Duverger A1 Washington S. Franca-Rocha PB MDPI AG YR 2023 K1 SAR K1 remote sensing K1 oil spills K1 Naval architecture. Shipbuilding. Marine engineering K1 VM1-989 K1 Oceanography K1 GC1-1581 JF https://www.mdpi.com/2077-1312/11/7/1406 LK http://dx.doi.org/https://doi.org/10.3390/jmse11071406 DO https://doi.org/10.3390/jmse11071406 SF ELIB - SuUB Bremen
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