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An effective artificial intelligence pipeline for automatic manatee count using their tonal vocalizations

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dc.contributor.authorQuirós-Corella, Fabricio
dc.contributor.authorCubero Pardo, Priscilla
dc.contributor.authorRycyk, Athena
dc.contributor.authorBrady, Beth
dc.contributor.authorCastro-Azofeifa, César
dc.contributor.authorMora Ramírez, Sebastián
dc.contributor.authorUreña Madrigal, Juan Pablo
dc.date.accessioned2025-11-18T17:15:59Z
dc.date.available2025-11-18T17:15:59Z
dc.date.issued2024
dc.identifier.isbn978-3-031-76604-6
dc.identifier.urihttps://hdl.handle.net/20.500.12337/11035
dc.language.isoen
dc.publisherSpringer, Cham
dc.relationhttps://doi.org/10.1007/978-3-031-76604-6_3
dc.relation.ispartofseriesLecture Notes in Computer Science ((LNCS,volumen 15369))
dc.rightsacceso abierto
dc.sourceAvances en reconocimiento de patrones, análisis de imágenes, visión por computadora y aplicaciones. CIARP 2024. Lecture Notes in Computer Science, vol. 15369. Springer, Cham. https://doi.org/10.1007/978-3-031-76604-6_3
dc.subjectINTELIGENCIA ARTIFICIAL
dc.subjectCOMPUTADORES NEURONALES
dc.subjectMANATÍES
dc.titleAn effective artificial intelligence pipeline for automatic manatee count using their tonal vocalizations
dc.typeartículo de investigación

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