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Evaluation of datasets and deep learning methods used in earthquake prediction in the context of the February 6, 2023 earthquake.

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Title: Evaluation of datasets and deep learning methods used in earthquake prediction in the context of the February 6, 2023 earthquake.
Alternate Title: Deprem tahmininde kullanılan veri setleri ve derin öğrenme yöntemlerinin 6 Şubat 2023 depremi açısından değerlendirilmesi.
Authors: Kervancı, İlkay Sibel1 skervanci@gantep.edu.tr
Source: Pamukkale University Journal of Engineering Sciences. 2026, Vol. 32 Issue 2, p295-301. 7p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
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PubType: Academic Journal
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  Data: Evaluation of datasets and deep learning methods used in earthquake prediction in the context of the February 6, 2023 earthquake.
– Name: TitleAlt
  Label: Alternate Title
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  Data: Deprem tahmininde kullanılan veri setleri ve derin öğrenme yöntemlerinin 6 Şubat 2023 depremi açısından değerlendirilmesi.
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  Data: <searchLink fieldCode="AR" term="%22Kervancı%2C+İlkay+Sibel%22">Kervancı, İlkay Sibel</searchLink><relatesTo>1</relatesTo><i> skervanci@gantep.edu.tr</i>
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  Data: <searchLink fieldCode="JN" term="%22Pamukkale+University+Journal+of+Engineering+Sciences%22">Pamukkale University Journal of Engineering Sciences</searchLink>. 2026, Vol. 32 Issue 2, p295-301. 7p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193647230
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      – Type: doi
        Value: 10.5505/pajes.2025.71240
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 295
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      – TitleFull: Evaluation of datasets and deep learning methods used in earthquake prediction in the context of the February 6, 2023 earthquake.
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            – D: 01
              M: 03
              Text: 2026
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              Y: 2026
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            – TitleFull: Pamukkale University Journal of Engineering Sciences
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