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A Novel Approach to Classify Telescopic Sensors Data Using Bidirectional-Gated Recurrent Neural Networks.

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Title: A Novel Approach to Classify Telescopic Sensors Data Using Bidirectional-Gated Recurrent Neural Networks.
Authors: Raza, Ali1, Munir, Kashif2, kashif.munir@kfueit.edu.pk, Almutairi, Mubarak3, Younas, Faizan1, Fareed, Mian Muhammad Sadiq4, kashif.munir@kfueit.edu.pk, Ahmed, Gulnaz5, kashif.munir@kfueit.edu.pk
Source: Applied Sciences (2076-3417); Oct2022, Vol. 12 Issue 20, pN.PAG-N.PAG, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 159869027
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PubType: Academic Journal
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  Data: A Novel Approach to Classify Telescopic Sensors Data Using Bidirectional-Gated Recurrent Neural Networks.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=159869027
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/app122010268
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      – Code: eng
        Text: English
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        PageCount: 17
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      – TitleFull: A Novel Approach to Classify Telescopic Sensors Data Using Bidirectional-Gated Recurrent Neural Networks.
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            NameFull: Raza, Ali
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            NameFull: Munir, Kashif
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            NameFull: Almutairi, Mubarak
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            NameFull: Younas, Faizan
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            NameFull: Fareed, Mian Muhammad Sadiq
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            NameFull: Ahmed, Gulnaz
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              Text: Oct2022
              Type: published
              Y: 2022
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