Artificial intelligence in biocapacity and ecological footprint prediction in latin America and the caribbean
In the face of decades of unsustainable development that has led to significant depletion of resources and environmental imbalances, the need for advanced methods to understand and mitigate adverse environmental effects has never been more critical. This study introduces an innovative approach using...
- Autores:
-
van der Woude, David
Castro Nieto, Gilmer Yovani
Moros Ochoa, Maria Andreina
Llorente Portillo, Carolina
Quintero Español, Anderson
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Colegio de Estudios Superiores de Administración
- Repositorio:
- Repositorio CESA
- Idioma:
- eng
- OAI Identifier:
- oai:repository.cesa.edu.co:10726/5787
- Acceso en línea:
- http://hdl.handle.net/10726/5787
https://link-springer-com.cvirtual.cesa.edu.co/article/10.1007/s10668-024-05101-7
- Palabra clave:
- Artificial Neural Networks (ANN)
Biocapacity
Ecological footprint
Forest land
Sustainable development
- Rights
- License
- Acceso Restringido