Anomalies Prediction in Radon Time Series for Earthquake Likelihood Using Machine Learning-Based Ensemble Model-Reference-Cited by-同舟云学术

Anomalies Prediction in Radon Time Series for Earthquake Likelihood Using Machine Learning-Based Ensemble Model

Published:2022 Issue: Volume:10 Page:37984-37999
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mir Adil Aslam¹^ORCID,Celebi Fatih Vehbi¹^ORCID,Alsolai Hadeel²,Qureshi Shahzad Ahmad³^ORCID,Rafique Muhammad⁴^ORCID,Alzahrani Jaber S.⁵,Mahgoub Hany⁶,Hamza Manar Ahmed⁷

Affiliation:

1. Department of Computer Engineering, Ankara Yıldırım Beyazıt University, Ayvalı, Keçiören, Ankara, Turkey

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

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

4. Department of Physics, King Abdullah Campus Chatter Kalas, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan

5. Department of Industrial Engineering, College of Engineering at Al-Qunfudhah, Umm Al-Qura University, Mecca, Saudi Arabia

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

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

Funder

Deanship of Scientific Research at King Khalid University

Princess Nourah Bint Abdulrahman University Researchers Supporting Project through Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

Deanship of Scientific Research at Umm Al-Qura University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09745157.pdf?arnumber=9745157

Reference72 articles.

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