Exploring the Applicability of Transfer Learning and Feature Engineering in Epilepsy Prediction Using Hybrid Transformer Model
Objective: Epilepsy prediction algorithms offer patients with drug-resistant epilepsy a way to reduce unintended harm from sudden seizures. The purpose of this study is to investigate the applicability of transfer learning (TL) technique and model inputs for different deep learning (DL) model struct...
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Main Authors: | , , , , , , , |
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Format: | Book |
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IEEE,
2023-01-01T00:00:00Z.
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A1234.567 |
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