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Spectrum occupancy prediction using LSTM models for cognitive radio applications.

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Title: Spectrum occupancy prediction using LSTM models for cognitive radio applications.
Authors: Kolangiyappan, Tamizhelakkiya1, tk1045@srmist.edu.in, Gauni, Sabitha1,2, Chandhar, Prabhu3
Source: Network: Computation in Neural Systems; Nov2024, Vol. 35 Issue 4, p347-378, 32p
Database: Applied Science & Technology Source
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An: 180592141
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PubType: Academic Journal
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    Identifiers:
      – Type: doi
        Value: 10.1080/0954898X.2024.2393245
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      – Code: eng
        Text: English
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        PageCount: 32
        StartPage: 347
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      – TitleFull: Spectrum occupancy prediction using LSTM models for cognitive radio applications.
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            NameFull: Kolangiyappan, Tamizhelakkiya
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            NameFull: Gauni, Sabitha
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            NameFull: Chandhar, Prabhu
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            – D: 01
              M: 11
              Text: Nov2024
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              Y: 2024
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