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Multimodal Deep Learning for Activity Detection from IoT Sensors.

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Title: Multimodal Deep Learning for Activity Detection from IoT Sensors.
Authors: Hemalatha, T.1, themalatha.mail@gmail.com, Kalaiselvi, T. C.2, tckalaiselvi@mail.lv, Gnana Kousalya, C.3, cgnanakousalya@inbox.lv, Rohini, G.3, grohini@inbox.lv
Source: IETE Journal of Research; May2024, Vol. 70 Issue 5, p5006-5018, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 179483056
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Multimodal Deep Learning for Activity Detection from IoT Sensors.
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  Data: <searchLink fieldCode="AU" term="%22Hemalatha%2C+T%2E%22">Hemalatha, T.</searchLink><relatesTo>1</relatesTo>, <i>themalatha.mail@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Kalaiselvi%2C+T%2E+C%2E%22">Kalaiselvi, T. C.</searchLink><relatesTo>2</relatesTo>, <i>tckalaiselvi@mail.lv</i><br /><searchLink fieldCode="AU" term="%22Gnana+Kousalya%2C+C%2E%22">Gnana Kousalya, C.</searchLink><relatesTo>3</relatesTo>, <i>cgnanakousalya@inbox.lv</i><br /><searchLink fieldCode="AU" term="%22Rohini%2C+G%2E%22">Rohini, G.</searchLink><relatesTo>3</relatesTo>, <i>grohini@inbox.lv</i>
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  Data: <searchLink fieldCode="JN" term="%22IETE+Journal+of+Research%22">IETE Journal of Research</searchLink>; May2024, Vol. 70 Issue 5, p5006-5018, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179483056
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      – Type: doi
        Value: 10.1080/03772063.2023.2248955
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      – Code: eng
        Text: English
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        PageCount: 13
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      – TitleFull: Multimodal Deep Learning for Activity Detection from IoT Sensors.
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            NameFull: Hemalatha, T.
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            NameFull: Kalaiselvi, T. C.
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            NameFull: Gnana Kousalya, C.
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              Text: May2024
              Type: published
              Y: 2024
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              Value: 70
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