Transfer Learning and Hybrid Deep Convolutional Neural Networks Models for Autism Spectrum Disorder Classification From EEG Signals

Transfer Learning and Hybrid Deep Convolutional Neural Networks Models for Autism Spectrum Disorder Classification From EEG Signals

Autism spectrum disorder (ASD) is a developmental disease characterised by restricted and repetitive behaviours, as well as difficulty in social communication and interaction, in children. The clinical diagnosis of ASD is reached by behavioural screening, which delays early intervention. Electroence...

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Bibliographic Details
Main Authors: Noor Kamal Al-Qazzaz, Alaa A. Aldoori, Ali K. Buniya, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Autism
EEG
deep learning
transfer learning
convolutional neural networks
machine learning
Online Access:https://ieeexplore.ieee.org/document/10520303/

Internet

https://ieeexplore.ieee.org/document/10520303/

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