Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction

Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction

<b>Background:</b> Although computational models are advancing air quality prediction, achieving the desired performance or accuracy of prediction remains a gap, which impacts the implementation of machine learning (ML) air quality prediction models. Several models have been employed and...

Full description

Bibliographic Details
Main Authors: Israel Edem Agbehadji, Ibidun Christiana Obagbuwa
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Atmosphere
Subjects:
machine learning
deep learning
spatiotemporal air quality prediction
Online Access:https://www.mdpi.com/2073-4433/15/11/1352

Internet

https://www.mdpi.com/2073-4433/15/11/1352

Similar Items