Data Driven Forecasting Models for Urban Air Pollution: MoreAir Case Study

Data Driven Forecasting Models for Urban Air Pollution: MoreAir Case Study

Artificial Intelligence has the potential to contribute to sustainable cities, life on land, and climate action. Specifically, data-driven AI models can analyze large, interconnected databases to develop joint environmental actions. Air quality plays a pivotal role in both climate action and the dev...

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Bibliographic Details
Main Authors: Safaa Berkani, Ihsane Gryech, Mounir Ghogho, Bassma Guermah, Abdellatif Kobbane
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Air pollution
urban air pollution forecasting
open datasets
statistical models
machine learning
deep learning
Online Access:https://ieeexplore.ieee.org/document/10313279/

Internet

https://ieeexplore.ieee.org/document/10313279/

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