Eeg-Based Person Identification Using Multi-Levelwavelet Decomposition With Multi-Objective Flower Pollination Algorithm
Recently, several studies showed that the brain electrical activity or electroencephalogram (EEG) signals provide unique features that can be considered as user identification techniques. But, it is a challenging task where there are three important things must be addressed carefully in any EEG-base...
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フォーマット: | 学位論文 |
言語: | English |
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2020
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オンライン・アクセス: | http://eprints.usm.my/52571/1/ZAID%20ABDI%20ALKAREEM%20YAHYA%20AL%20YASSERI%20-%20TESIS-2.pdf%20cut.pdf http://eprints.usm.my/52571/ |
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