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...

Bibliografiset tiedot
Päätekijät:	Rendón-Hurtado, Néstor David, Isaza-Narváez, Claudia Victoria, Rodríguez-Buriticá, Susana
Aineistotyyppi:	Online
Kieli:	spa
Julkaistu:	Universidad Pedagógica y Tecnológica de Colombia 2020
Aiheet:	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
Linkit:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11752

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