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A Novel Chaotic Binary Butterfly Optimization Algorithm based Feature Selection Model for Classification of Autism Spectrum Disorder Cover

A Novel Chaotic Binary Butterfly Optimization Algorithm based Feature Selection Model for Classification of Autism Spectrum Disorder

Open Access
|Dec 2024

Authors

Anandkumar Ramakrishnan

Department of Information Technology Sri Manakula Vinayagar Engineering College, India

Rajakumar Ramalingam

Centre for e-Automation Technologies Vellore Institute of Technology, India

Padmanaban Ramalingam

School of Computer Science and Engineering Vellore Institute of Technology, India

Vinayakumar Ravi

vravi@pmu.edu.sa

Center for Artificial Intelligence Prince Mohammad bin Fahd University, Saudi Arabia

Tahani Jaser Alahmadi

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

Siti Sarah Maidin

Faculty of Data Sciences and Information Technology INTI International University, Malaysia
DOI: https://doi.org/10.61822/amcs-2024-0043 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 647 - 660
Submitted on: Apr 2, 2024
Accepted on: Aug 23, 2024
Published on: Dec 25, 2024
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Anandkumar Ramakrishnan, Rajakumar Ramalingam, Padmanaban Ramalingam, Vinayakumar Ravi, Tahani Jaser Alahmadi, Siti Sarah Maidin, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.