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Augmented data and neural networks for robust epidemic forecasting: Application to COVID-19 in Italy.

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Title: Augmented data and neural networks for robust epidemic forecasting: Application to COVID-19 in Italy.
Authors: Dimarco, Giacomo1 (AUTHOR), Ferrarese, Federica1 (AUTHOR) federica.ferrarese@unife.it, Pareschi, Lorenzo1,2 (AUTHOR)
Source: Mathematical Biosciences & Engineering. 2026, Vol. 23 Issue 2, p1-25. 25p.
Database: Mathematics Source
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Header DbId: msf
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An: 191142122
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Augmented data and neural networks for robust epidemic forecasting: Application to COVID-19 in Italy.
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  Data: <searchLink fieldCode="JN" term="%22Mathematical+Biosciences+%26+Engineering%22">Mathematical Biosciences & Engineering</searchLink>. 2026, Vol. 23 Issue 2, p1-25. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=191142122
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      – Code: eng
        Text: English
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        PageCount: 25
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      – TitleFull: Augmented data and neural networks for robust epidemic forecasting: Application to COVID-19 in Italy.
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            NameFull: Dimarco, Giacomo
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            NameFull: Ferrarese, Federica
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              Text: 2026
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              Y: 2026
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