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- W2945822067 abstract "EEG signal classification is a pivotal task for identification of different brain related disorders. The paper is about classification of EEG signal presenting a novel approach for the identification of whether the seizure is epileptic or normal that technique is based on training of neural network with having improved simplified swarm optimization algorithm. Our proposed methodology is evaluated with different parameters and testing accuracy of 94 % is reported for a publicly available dataset." @default.
- W2945822067 created "2019-05-29" @default.
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- W2945822067 date "2019-02-22" @default.
- W2945822067 modified "2023-10-18" @default.
- W2945822067 title "Classification of EEG Signal by Training Neural Network with Swarm Optimization for Identification of Epilepsy" @default.
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- W2945822067 doi "https://doi.org/10.1145/3318299.3318374" @default.
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