Automatic Identification of Transformation in the Colombian Tropical Dry Forest Using GMM and UBM-GMM

Automatic Identification of Transformation in the Colombian Tropical Dry Forest Using GMM and UBM-GMM

Today, machine learning methods have become a powerful tool to help curb the effects of global warming by solving ecological questions. In particular, the Colombian Tropical Dry Forest (TDF) is an important ecosystem that is currently under threat due to deforestation generated by cattle, mining, an...

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Dades bibliogràfiques
Autors principals:	Rendón-Hurtado, Néstor David, Isaza-Narváez, Claudia Victoria, Rodríguez-Buriticá, Susana
Format:	Online
Idioma:	spa
Publicat:	Universidad Pedagógica y Tecnológica de Colombia 2020
Matèries:	acoustic index ecoacoustics gaussian mixture model machine learning ; maximum likelihood estimation universal background model ecoacústica modelos de mezclas gausianas índices acústicos estimación de máxima verosimilitud modelo universal
Accés en línia:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11752

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