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A Multi-Fusion Model for Seizure Prediction Through Electroencephalogram Signal Analysis Using HTT-RNN and Long Short-Term Dependencies Model.

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Title: A Multi-Fusion Model for Seizure Prediction Through Electroencephalogram Signal Analysis Using HTT-RNN and Long Short-Term Dependencies Model.
Authors: Shobana, Govindasamy1 (AUTHOR) shobana.g.ise@kct.ac.in, Rajendran, Baskaran Kuttuva2 (AUTHOR)
Source: Traitement du Signal. Apr2026, Vol. 43 Issue 2, p741-752. 12p.
Database: Business Source Ultimate
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  Data: A Multi-Fusion Model for Seizure Prediction Through Electroencephalogram Signal Analysis Using HTT-RNN and Long Short-Term Dependencies Model.
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  Data: <searchLink fieldCode="JN" term="%22Traitement+du+Signal%22">Traitement du Signal</searchLink>. Apr2026, Vol. 43 Issue 2, p741-752. 12p.
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        Value: 10.18280/ts.430215
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 741
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      – TitleFull: A Multi-Fusion Model for Seizure Prediction Through Electroencephalogram Signal Analysis Using HTT-RNN and Long Short-Term Dependencies Model.
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            NameFull: Shobana, Govindasamy
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            NameFull: Rajendran, Baskaran Kuttuva
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              Text: Apr2026
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              Y: 2026
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