Detection of autism spectrum disorder based on time domain electroencephalogram signal using enhanced BILSTM models

The global prevalence of Autism Spectrum Disorder (ASD) has driven researchers to develop well-defined automated approaches for early detection, surpassing standard behavioral assessments. Behavioral assessment methods face challenges to detect ASD at early stage because pronounced symptoms of autis...

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Bibliographic Details

Main Author:	Ali, Nur Alisa
Format:	Thesis
Language:	en
Published:	2024
Subjects:	Q Science (General) QA75 Electronic computers. Computer science QR Microbiology
Online Access:	http://eprints.utem.edu.my/id/eprint/28564/2/Detection%20of%20autism%20spectrum%20disorder%20based%20on%20time%20domain%20electroencephalogram%20signal%20using%20enhanced%20BILSTM%20models.pdf http://eprints.utem.edu.my/id/eprint/28564/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124406
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