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...
Main Authors: | Rendón-Hurtado, Néstor David, Isaza-Narváez, Claudia Victoria, Rodríguez-Buriticá, Susana |
---|---|
格式: | Online |
语言: | spa |
出版: |
Universidad Pedagógica y Tecnológica de Colombia
2020
|
主题: | |
在线阅读: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11752 |
- 相似书籍
-
Comparison of some estimations of Kendall’s t for interval-censored bivariate data
由: Serna-Morales , Jessica K., et al.
出版: (2024) -
Solar Radiation Prediction on Photovoltaic Systems Using Machine Learning Techniques
由: Ordoñez-Palacios, Luis Eduardo, et al.
出版: (2020) -
Detection of Homicide Trends in Colombia Using Machine Learning
由: Ordoñez-Eraso, Hugo Armando, et al.
出版: (2019) -
Modeling of topics applied to the analysis of the paper of automatic learning in systemic revisions
由: Grisales-Aguirre, Andrés Mauricio, et al.
出版: (2022) -
Use of Near Infrared Spectroscopy for the Determination of Organic Matter and Total Nitrogen of Soils
由: Ortega Monsalve, Manuela, et al.
出版: (2023)