Intelligent optimal feature selection-based hybrid variational autoencoder and block recurrent transformer network for accurate emotion recognition model using EEG signals. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/C._H._Narsimha_Reddy>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/K._Manjunathachari>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Shanthi_Mahesh>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1007%2Fs11760-023-02702-z>
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dc:identifier	DBLP journals/sivp/ReddyMM24 (xsd:string)
dc:identifier	DOI doi.org%2F10.1007%2Fs11760-023-02702-z (xsd:string)
dcterms:issued	2024 (xsd:gYear)
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rdfs:label	Intelligent optimal feature selection-based hybrid variational autoencoder and block recurrent transformer network for accurate emotion recognition model using EEG signals. (xsd:string)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Shanthi_Mahesh>
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swrc:pages	1027-1039 (xsd:string)
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dc:title	Intelligent optimal feature selection-based hybrid variational autoencoder and block recurrent transformer network for accurate emotion recognition model using EEG signals. (xsd:string)
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