Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Qaysar Mohi ud Din"'
1
Wavelet Scattering Transform and Deep Learning Networks based Autism Spectrum Disorder Identification using EEG Signals
Autor: Qaysar Mohi ud Din, Anavai K. Jayanthy
Publikováno v: Traitement du Signal. 39:2069-2076
Autism Spectrum Disorder (ASD), a neurological abnormality that influences how an individual perceives and interacts with others, which leads to issues with social interaction and communication. In accordance with the Centers for Disease Control and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a039e282b8c27955b0ba89c6de87ed61
https://doi.org/10.18280/ts.390619
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3
DETECTION OF AUTISM SPECTRUM DISORDER BY FEATURE EXTRACTION OF EEG SIGNALS AND MACHINE LEARNING CLASSIFIERS
Autor: Qaysar Mohi ud Din, A. K. Jayanthy
Publikováno v: Biomedical Engineering: Applications, Basis and Communications. 35
Autism Spectrum Disorder (ASD), a neurodevelopmental disorder, impacts the subject’s social communication and interaction and the subjects exhibit restricted and repetitive behaviors. Subjects with ASD may need assistance throughout their life, dep
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8a5ea477c33c956b3641e7ad1915b02
https://doi.org/10.4015/s1016237222500466
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4
AUTOMATED CLASSIFICATION OF AUTISM SPECTRUM DISORDER USING EEG SIGNALS AND CONVOLUTIONAL NEURAL NETWORKS
Autor: Qaysar Mohi ud Din, A. K. Jayanthy
Publikováno v: Biomedical Engineering: Applications, Basis and Communications. 34
Children suffering from Autism Spectrum Disorder (ASD) have impaired social communication, interaction and restricted and repetitive behaviors. ASD is caused by abnormal brain developments which give rise to the behavioral characteristics associated
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c963c0a83d546b6897122e1fb4c8483
https://doi.org/10.4015/s101623722250020x
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6
Autism Spectrum Disorder classification using EEG and 1D-CNN
Autor: Qaysar Mohi-ud-Din, A. K. Jayanthy
Publikováno v: 2021 10th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON).
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee662dc4af6473673748e030788e8fea
https://doi.org/10.1109/iemecon53809.2021.9689100
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7
Detection of Autism Spectrum Disorder from EEG signals using pre-trained deep convolution neural networks
Autor: Qaysar Mohi-ud-Din, A. K. Jayanthy
Publikováno v: 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII).
Electroencephalography (EEG) is a method of recording the electrical activity of the brain and it has been used to detect various neurological disorders which are associated with the abnormal brain electrical activity. Various diseases such as epilep
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83ddc590c85e1c471b83f9d41618d626
https://doi.org/10.1109/icbsii51839.2021.9445193
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8
WITHDRAWN: EEG feature extraction using wavelet transform for classifying autism spectrum disorder
Autor: A. K. Jayanthy, Qaysar Mohi-ud-Din
Publikováno v: Materials Today: Proceedings.
Autism spectrum disorder is a neurodevelopmental disorder in which subjects have impairments in communication, social interaction and is diagnosed on the basis of behavioral assessment, which leads to loss of time for early intervention. Electroencep
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b90a277cf646df24a92fb05862816ce7
https://doi.org/10.1016/j.matpr.2021.01.803
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