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AnoSense: Edge computing for real-time flight anomaly detection by using embedded deep neural networks.

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Title: AnoSense: Edge computing for real-time flight anomaly detection by using embedded deep neural networks.
Alternate Title: AnoSense: Gömülü derin sinir ağları kullanarak gerçek zamanlı uçuş anormalliklerinin tespiti için uç birim hesaplama.
Authors: DUDUKCU, Hatice Vildan1 vdudukcu@yildiz.edu.tr, TASKIRAN, Murat1, KAHRAMAN, Nihan1
Source: Gümüshane Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2025, Vol. 15 Issue 3, p797-808. 12p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 188271322
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: AnoSense: Gömülü derin sinir ağları kullanarak gerçek zamanlı uçuş anormalliklerinin tespiti için uç birim hesaplama.
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  Data: <searchLink fieldCode="JN" term="%22Gümüshane+Üniversitesi+Fen+Bilimleri+Enstitüsü+Dergisi%22">Gümüshane Üniversitesi Fen Bilimleri Enstitüsü Dergisi</searchLink>. 2025, Vol. 15 Issue 3, p797-808. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188271322
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        Value: 10.17714/gumusfenbil.1676270
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 797
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      – TitleFull: AnoSense: Edge computing for real-time flight anomaly detection by using embedded deep neural networks.
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            NameFull: DUDUKCU, Hatice Vildan
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            NameFull: TASKIRAN, Murat
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            NameFull: KAHRAMAN, Nihan
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            – D: 01
              M: 07
              Text: 2025
              Type: published
              Y: 2025
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              Value: 15
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              Value: 3
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            – TitleFull: Gümüshane Üniversitesi Fen Bilimleri Enstitüsü Dergisi
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