Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction

Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction

Air pollution, a significant global challenge driven by industrialization, urbanization, and population growth, is caused by the emission of harmful gases, particulates, and biological molecules into the atmosphere, posing serious risks to health and the environment. Key sources include power plant...

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Bibliographic Details
Main Authors: Nor Irwin Basir, Kathlyn Kaiyun Tan, Danny Hartanto Djarum, Zainal Ahmad, Dai-Viet N. Vo, Zhang Jie
Format: Article
Language:English
Published: IIUM Press, International Islamic University Malaysia 2025-01-01
Series:International Islamic University Malaysia Engineering Journal
Subjects:
Air pollution index, Shallow sparse autoencoder, Deep sparse autoencoder, Prediction
Online Access:https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2818
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https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2818

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