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...
محفوظ في:
المؤلف الرئيسي: | Yahya Alyasseri, Zaid Abdi Alkareem |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2020
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.usm.my/52571/1/ZAID%20ABDI%20ALKAREEM%20YAHYA%20AL%20YASSERI%20-%20TESIS-2.pdf%20cut.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Multi-Objective Hybrid Algorithm For
The Classification Of Imbalanced
Datasets
بواسطة: Saeed, Sana
منشور في: (2019) -
Multi-objective Hybrid Election Algorithm For Random K Satisfiability In Discrete Hopfield Neural Network
بواسطة: Karim, Syed Anayet
منشور في: (2023) -
Algorithms For Multi-Criteria Global Path Planning Of An Unmanned Combat Vehicle
بواسطة: Saw Hin, Saw Veekeong
منشور في: (2020) -
A neural network modal decomposition mechanism in predicting network traffic
بواسطة: Shi Jinmei
منشور في: (2023) -
Forecasting Performance Of Nonlinear And Nonstationary Stock Market Data Using Empirical Mode Decomposition
بواسطة: Awajan, Ahmad Mohammad Al-Abd
منشور في: (2018)