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Deep learning-based feature selection for detection of autism spectrum disorder.

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第一作者： Ibrahim,Nafisah

第一单位： Department of Statistics and Operations Research, College of Sciences, King Saud University, Riyadh, Saudi Arabia.

作者： Ibrahim,Nafisah ^[1] ; Nermine,Mahmoud ^[2] ; Ahmed A,Ewees ^[3] ; Mohamed G,Khattap ^[4] ; Abdelghani,Dahou ^[5] ; Safar M,Alghamdi ^[6] ; Ibrahim A,Fares ^[7] ; Mohammed,Azmi Al-Betar ^[8] ; Mohamed,Abd Elaziz ^[9]

作者单位： Department of Statistics and Operations Research, College of Sciences, King Saud University, Riyadh, Saudi Arabia. ^[1] Faculty of Human Science, Galala University, Suez, Egypt. ^[2] Department of Computer, Damietta University, Damietta, Egypt. ^[3] Technology of Radiology and Medical Imaging Program, Faculty of Applied Health Sciences Technology, Galala University, Suez, Egypt. ^[4] School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. ^[5] Department of Mathematics and Statistics, College of Science, Taif University, Taif, Saudi Arabia. ^[6] Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt. ^[7] Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates.;Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan. ^[8] Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt.;Faculty of Computer Science and Engineering, Galala University, Suez, Egypt. ^[9]

关键词 Hiking Optimization Algorithm autism detection deep learning double attractors dynamic-opposite learning feature selection resting-state functional MRI (rs-fMRI)

DOI 10.3389/frai.2025.1594372

PMID 40636395

发布时间 2025-07-10

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