PSO-based optimization for EEG data and SVM for efficient deceit identification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08476-3.pdf
Reference19 articles.
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3. Arasteh A, Moradi MH, Janghorbani A (2016) A novel method based on empirical mode decomposition for P300-based detection of deception. IEEE Trans Inf Forensics Secur 11(11):2584–2593
4. Bablani A, Edla DR, Tripathi D, Venkatanareshbabu K (2018) Subject based deceit identification using empirical mode decomposition. Procedia Comput Sci 132:32–39
5. Bablani A, Edla DR, Tripathi D, Dodia S, Chintala S (2019) A synergistic concealed information test with novel approach for EEG channel selection and SVM parameter optimization. IEEE Trans Inf Forensics Secur 14(11):3057–3068. https://doi.org/10.1109/TIFS.2019.2913798
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2. An Automatic Lie Detection Model Using EEG Signals Based on the Combination of Type 2 Fuzzy Sets and Deep Graph Convolutional Networks;Sensors;2024-06-03
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