Artificial intelligence, machine learning and GIS in environmental engineering: current trends
The use of computational tools, such as Artificial Intelligence, Machine Learning or Geographic Information Systems, has had a significant impact on the knowledge generated on environmental issues in recent years. The number of publications shown in this preliminary review of the IEEE Xplore Digi...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Instituto Tecnológico de Costa Rica
2024-09-01
|
| Series: | Tecnología en Marcha |
| Subjects: | |
| Online Access: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/7304 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The use of computational tools, such as Artificial Intelligence, Machine Learning or Geographic
Information Systems, has had a significant impact on the knowledge generated on environmental
issues in recent years. The number of publications shown in this preliminary review of the IEEE
Xplore Digital Library database shows its broad applicability and scientific relevance. Search
filters and keywords such as water, air, soil, climate change, energy and waste were used. The
data obtained was processed to visualize the proportion of use in key topics of environmental
interest, giving scientific guidance towards the sites of greatest applicability, as well as towards
areas that deserve to be reinforced. In this way, this work aims to promote the development of
collaborative work solutions in the related areas of environmental and computational engineering. |
|---|---|
| ISSN: | 0379-3982 2215-3241 |