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Real-time facial emotion recognition model based on kernel autoencoder and convolutional neural network for autism children.

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Title: Real-time facial emotion recognition model based on kernel autoencoder and convolutional neural network for autism children.
Authors: Talaat, Fatma M.1,2,3, Ali, Zainab H.4,5, Mostafa, Reham R.6,7, El-Rashidy, Nora1, Noura.alrashidy@ai.kfs.edu.eg
Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; May2024, Vol. 28 Issue 9/10, p6695-6708, 14p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178149629
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Real-time facial emotion recognition model based on kernel autoencoder and convolutional neural network for autism children.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178149629
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s00500-023-09477-y
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      – Code: eng
        Text: English
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        StartPage: 6695
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      – TitleFull: Real-time facial emotion recognition model based on kernel autoencoder and convolutional neural network for autism children.
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            NameFull: Talaat, Fatma M.
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            NameFull: Ali, Zainab H.
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            NameFull: Mostafa, Reham R.
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            NameFull: El-Rashidy, Nora
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            – D: 01
              M: 05
              Text: May2024
              Type: published
              Y: 2024
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              Value: 28
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              Value: 9/10
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            – TitleFull: Soft Computing - A Fusion of Foundations, Methodologies & Applications
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