Τεκμήρια: 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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Κύριοι συγγραφείς:	Al-Qazzaz, Noor Kamal, Aldoori, Alaa A., Buniya, Ali K., Mohd Ali, Sawal Hamid, Ahmad, Siti Anom
Μορφή:	Άρθρο
Γλώσσα:	English
Έκδοση:	Institute of Electrical and Electronics Engineers 2024
Διαθέσιμο Online:	http://psasir.upm.edu.my/id/eprint/111550/1/Transfer_Learning_and_Hybrid_Deep_Convolutional_Neural_Networks_Models_for_Autism_Spectrum_Disorder_Classification_From_EEG_Signals.pdf
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http://psasir.upm.edu.my/id/eprint/111550/1/Transfer_Learning_and_Hybrid_Deep_Convolutional_Neural_Networks_Models_for_Autism_Spectrum_Disorder_Classification_From_EEG_Signals.pdf

Transfer learning and hybrid deep convolutional neural networks models for autism spectrum disorder classification from EEG signals

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