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...
主要な著者: | Rendón-Hurtado, Néstor David, Isaza-Narváez, Claudia Victoria, Rodríguez-Buriticá, Susana |
---|---|
フォーマット: | Online |
言語: | spa |
出版事項: |
Universidad Pedagógica y Tecnológica de Colombia
2020
|
主題: | |
オンライン・アクセス: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11752 |
- 類似資料
-
Comparison of some estimations of Kendall’s t for interval-censored bivariate data
著者:: Serna-Morales , Jessica K., 等
出版事項: (2024) -
Solar Radiation Prediction on Photovoltaic Systems Using Machine Learning Techniques
著者:: Ordoñez-Palacios, Luis Eduardo, 等
出版事項: (2020) -
Detection of Homicide Trends in Colombia Using Machine Learning
著者:: Ordoñez-Eraso, Hugo Armando, 等
出版事項: (2019) -
Modeling of topics applied to the analysis of the paper of automatic learning in systemic revisions
著者:: Grisales-Aguirre, Andrés Mauricio, 等
出版事項: (2022) -
Use of Near Infrared Spectroscopy for the Determination of Organic Matter and Total Nitrogen of Soils
著者:: Ortega Monsalve, Manuela, 等
出版事項: (2023)