Inteligencia artificial, machine learning y SIG en ingeniería ambiental: tendencias actuales
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Contenido principal del artículo
Resumen
El uso de herramientas computacionales, como la Inteligencia Artificial, el Aprendizaje
Automático o los Sistemas de Información Geográfica, ha tenido un impacto significativo en
el conocimiento generado sobre cuestiones ambientales en los últimos años. El número de
publicaciones que se muestran en esta revisión preliminar de la base de datos de IEEE Xplore
Digital Library demuestra su amplia aplicabilidad y relevancia científica. Se utilizaron filtros de
búsqueda y palabras clave como agua, aire, suelo, cambio climático, energía y residuos. Los
datos obtenidos se procesaron para visualizar la proporción de uso en temas clave de interés
ambiental, proporcionando orientación científica hacia las áreas de mayor aplicabilidad, así
como hacia aquellas que merecen ser reforzadas. De esta manera, este trabajo tiene como
objetivo promover el desarrollo de soluciones de trabajo colaborativo en las áreas relacionadas
de la ingeniería ambiental y computacional.
Detalles del artículo
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