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A novel hybrid LSTM-Graph Attention Network for cross-subject analysis on thinking and speaking state using EEG signals.

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Title: A novel hybrid LSTM-Graph Attention Network for cross-subject analysis on thinking and speaking state using EEG signals.
Authors: Ramkumar, N.1, ramkumar.narayanaswamy@gmail.com, Karthika Renuka, D.1
Source: Journal of Intelligent & Fuzzy Systems; 2025, Vol. 48 Issue 5, p767-778, 12p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A novel hybrid LSTM-Graph Attention Network for cross-subject analysis on thinking and speaking state using EEG signals.
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      – Type: doi
        Value: 10.3233/JIFS-233143
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 767
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      – TitleFull: A novel hybrid LSTM-Graph Attention Network for cross-subject analysis on thinking and speaking state using EEG signals.
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            NameFull: Ramkumar, N.
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            NameFull: Karthika Renuka, D.
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            – D: 01
              M: 05
              Text: 2025
              Type: published
              Y: 2025
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