Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques

Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques

Particulate matter is emitted from diverse sources and affect the human health very badly. Dust particles exposure from the stated environment can affect our heart and lungs very badly. The particle pollution exposure creates a variety of problems including nonfatal heart attacks, premature deaths i...

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Bibliographic Details
Main Authors: Hanan Abdullah Mengash, Lal Hussain, Hany Mahgoub, A. Al-Qarafi, Mohamed K Nour, Radwa Marzouk, Shahzad Ahmad Qureshi, Anwer Mustafa Hilal
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Applied Artificial Intelligence
Online Access:http://dx.doi.org/10.1080/08839514.2022.2067647

Internet

http://dx.doi.org/10.1080/08839514.2022.2067647

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