Optimizing Document Classification: Unleashing the Power of Genetic Algorithms-Reference-Cited by-同舟云学术

Optimizing Document Classification: Unleashing the Power of Genetic Algorithms

Published:2023 Issue: Volume:11 Page:83136-83149
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mustafa Ghulam¹^ORCID,Rauf Abid²,Al-Shamayleh Ahmad Sami³^ORCID,Sulaiman Muhammad⁴,Alrawagfeh Wagdi⁵^ORCID,Afzal Muhammad Tanvir¹,Akhunzada Adnan⁵^ORCID

Affiliation:

1. Department of Computing, Shifa Tameer-e-Millat University, Islamabad, Pakistan

2. Department of Computer Science, University of Engineering and Technology, Taxila, Pakistan

3. Department of Network and Cybersecurity, Faculty of Information Technology, Ah-Ahliyya Amman University, Amman, Jordan

4. Department of Computer Science, University of Stavenger, Stavenger, Norway

5. College of Computing and IT, University of Doha for Science and Technology, Doha, Qatar

Funder

Qatar National Library for their generous support in providing Open Access funding for this research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10172190.pdf?arnumber=10172190

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