A comprehensive evaluation of ai techniques for air quality index prediction: RNNs and transformers
This study evaluates the effectiveness of Recurrent Neural Networks (RNNs) and Transformer-based models in predicting the Air Quality Index (AQI). Accurate AQI prediction is critical for mitigating the significant health impacts of air pollution and plays a vital role in public health protection an...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Universidad Politécnica Salesiana
2025-01-01
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Series: | Ingenius: Revista de Ciencia y Tecnología |
Subjects: | |
Online Access: | https://revistas.ups.edu.ec/index.php/ingenius/article/view/9557 |
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