Machine learning based Decision Tree J48 with Grey Wolf Optimizer for Environmental Pollution Control-Reference-Cited by-同舟云学术

Machine learning based Decision Tree J48 with Grey Wolf Optimizer for Environmental Pollution Control

Published:2021-12-17 Issue: Volume: Page:1-23
ISSN:0959-3330
Container-title:Environmental Technology
language:en
Short-container-title:Environmental Technology

Author:

Hilal Anwer Mustafa¹,Al-Wesabi Fahd N.²,Alajmi Masoud³,Eltahir Majdy M⁴,Medani Mohammad⁴,Al Duhayyim Mesfer⁵,Hamza Manar Ahmed¹,Zamani Abu Sarwar¹

Affiliation:

1. Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj, Saudi Arabia.

2. Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Saudi Arabia & Faculty of Computer and IT, Sana’a University, Yemen.

3. Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.

4. Department of Information Systems, College of Science & Art at Mahayil, King Khalid University, Saudi Arabia

5. Department of Natural and Applied Sciences, College of Community -Aflaj, Prince Sattam bin Abdulaziz University, Saudi Arabia

Funder

King Khalid University

Taif University

Publisher

Informa UK Limited

Subject

Waste Management and Disposal,Water Science and Technology,General Medicine,Environmental Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/09593330.2021.2017491

Reference46 articles.

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5. M. A. Elangasinghe,N. Singhal,K.N. Dirks, and J. A. Salmond,“Development of an ANN–based air pollution forecastingsystem with explicit knowledge through sensitivity analysis,”Atmospheric Pollution Research, vol. 5, no. 4, pp. 696–708, 2014.

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