A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula

A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula

<p dir="ltr">Accurate forecasting of environmental pollution indicators holds significant importance in diverse fields, including climate modeling, environmental monitoring, and public health. In this study, we investigate a wide range of machine learning and deep learning models to...

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Bibliographic Details
Main Author: Ahmad Qadeib Alban (16855206) (author)
Other Authors: Ammar Abulibdeh (15785928) (author), Lanouar Charfeddine (10705000) (author), Rawan Abulibdeh (19206115) (author), Abdelgadir Abuelgasim (21841442) (author)
Published: 2024
Subjects:
Earth sciences
Atmospheric sciences
Environmental sciences
Environmental management
Health sciences
Public health
Information and computing sciences
Machine learning
Aerosol optical depth
Time series forecasting
Deseasonalization
Machine and deep learning models
Feature extraction
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