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Optimal and Fully Connected Deep Neural Networks Based Classification Model for Unmanned Aerial Vehicle Using Hyperspectral Remote Sensing Images.

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Title: Optimal and Fully Connected Deep Neural Networks Based Classification Model for Unmanned Aerial Vehicle Using Hyperspectral Remote Sensing Images.
Authors: Hamza, Manar Ahmed1, ma.hamza@psau.edu.sa, Alzahrani, Jaber S.2, Al-Rasheed, Amal3, Alshahrani, Reem4, Alamgeer, Mohammad5, Motwakel, Abdelwahed1, Yaseen, Ishfaq1, Eldesouki, Mohamed I.6
Source: Canadian Journal of Remote Sensing; Oct2022, Vol. 48 Issue 5, p681-693, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 159984265
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Optimal and Fully Connected Deep Neural Networks Based Classification Model for Unmanned Aerial Vehicle Using Hyperspectral Remote Sensing Images.
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Remote+Sensing%22">Canadian Journal of Remote Sensing</searchLink>; Oct2022, Vol. 48 Issue 5, p681-693, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=159984265
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/07038992.2022.2116566
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 681
    Titles:
      – TitleFull: Optimal and Fully Connected Deep Neural Networks Based Classification Model for Unmanned Aerial Vehicle Using Hyperspectral Remote Sensing Images.
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            NameFull: Hamza, Manar Ahmed
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            NameFull: Alzahrani, Jaber S.
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            NameFull: Al-Rasheed, Amal
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            NameFull: Alshahrani, Reem
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            NameFull: Alamgeer, Mohammad
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            NameFull: Motwakel, Abdelwahed
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            NameFull: Yaseen, Ishfaq
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            – D: 01
              M: 10
              Text: Oct2022
              Type: published
              Y: 2022
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              Value: 48
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              Value: 5
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            – TitleFull: Canadian Journal of Remote Sensing
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