Major depressive Disorder detection using Effective Connectivity of EEG Signals and Deep Learning Transformer Model
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oai:utpedia.utp.edu.my:286352024-08-08T07:31:03Z http://utpedia.utp.edu.my/id/eprint/28635/ Major depressive Disorder detection using Effective Connectivity of EEG Signals and Deep Learning Transformer Model Ahmad Rezal, Nur Amira TK Electrical engineering. Electronics Nuclear engineering 2024-01 Final Year Project NonPeerReviewed Ahmad Rezal, Nur Amira (2024) Major depressive Disorder detection using Effective Connectivity of EEG Signals and Deep Learning Transformer Model. [Final Year Project] (Submitted) |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Ahmad Rezal, Nur Amira Major depressive Disorder detection using Effective Connectivity of EEG Signals and Deep Learning Transformer Model |
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Final Year Project |
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Ahmad Rezal, Nur Amira |
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Ahmad Rezal, Nur Amira |
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Ahmad Rezal, Nur Amira |
title |
Major depressive Disorder detection using Effective Connectivity of EEG Signals and Deep Learning Transformer Model |
title_short |
Major depressive Disorder detection using Effective Connectivity of EEG Signals and Deep Learning Transformer Model |
title_full |
Major depressive Disorder detection using Effective Connectivity of EEG Signals and Deep Learning Transformer Model |
title_fullStr |
Major depressive Disorder detection using Effective Connectivity of EEG Signals and Deep Learning Transformer Model |
title_full_unstemmed |
Major depressive Disorder detection using Effective Connectivity of EEG Signals and Deep Learning Transformer Model |
title_sort |
major depressive disorder detection using effective connectivity of eeg signals and deep learning transformer model |
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2024 |
url |
http://utpedia.utp.edu.my/id/eprint/28635/ |
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1807051980450824192 |
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13.214268 |