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...

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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
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License
Acceso Restringido