Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques-Reference-Cited by-同舟云学术

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

Published:2022-05-11 Issue:1 Volume:36 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Mengash Hanan Abdullah¹,Hussain Lal²³^ORCID,Mahgoub Hany⁴⁵,Al-Qarafi A.⁶,Nour Mohamed K⁷,Marzouk Radwa¹,Qureshi Shahzad Ahmad⁸,Hilal Anwer Mustafa⁹

Affiliation:

1. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

2. Department of Computer Science and Information Technology, King Abdullah Campus, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan

3. Department of Computer Science & IT, Neelum Campus, University of Azad Jammu and Kashmir Athmuqam, Azad Kashmir, Pakistan

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

5. Faculty of Computers and Information, Computer Science Department, Menoufia University, Menofia Governorat, Egypt

6. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

7. Department of Computer Sciences, College of Computing and Information System, Umm Al-Qura University, Mecca, Saudi Arabia

8. Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan

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

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2067647

Reference87 articles.

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