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SEVERITY ASSESSMENT OF SOCIAL ANXIETY DISORDER USING EEG SIGNALS IN DEFAULT MODE NETWORK

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Main Author: AL-EZZI MOHAMMED, ABDULHAKIM ABDULLAH
Format: Thesis
Language:English
Published: 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/id/eprint/31118/1/Abdulhaim%20Abdullah%20Al-Ezzi%20Mohammed_17007021.pdf
http://utpedia.utp.edu.my/id/eprint/31118/
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id oai:utpedia.utp.edu.my:31118
record_format eprints
spelling oai:utpedia.utp.edu.my:311182025-03-04T04:39:37Z http://utpedia.utp.edu.my/id/eprint/31118/ SEVERITY ASSESSMENT OF SOCIAL ANXIETY DISORDER USING EEG SIGNALS IN DEFAULT MODE NETWORK AL-EZZI MOHAMMED, ABDULHAKIM ABDULLAH TK Electrical engineering. Electronics Nuclear engineering 2022 Thesis NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/31118/1/Abdulhaim%20Abdullah%20Al-Ezzi%20Mohammed_17007021.pdf AL-EZZI MOHAMMED, ABDULHAKIM ABDULLAH (2022) SEVERITY ASSESSMENT OF SOCIAL ANXIETY DISORDER USING EEG SIGNALS IN DEFAULT MODE NETWORK. Doctoral thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
AL-EZZI MOHAMMED, ABDULHAKIM ABDULLAH
SEVERITY ASSESSMENT OF SOCIAL ANXIETY DISORDER USING EEG SIGNALS IN DEFAULT MODE NETWORK
format Thesis
author AL-EZZI MOHAMMED, ABDULHAKIM ABDULLAH
author_facet AL-EZZI MOHAMMED, ABDULHAKIM ABDULLAH
author_sort AL-EZZI MOHAMMED, ABDULHAKIM ABDULLAH
title SEVERITY ASSESSMENT OF SOCIAL ANXIETY DISORDER USING EEG SIGNALS IN DEFAULT MODE NETWORK
title_short SEVERITY ASSESSMENT OF SOCIAL ANXIETY DISORDER USING EEG SIGNALS IN DEFAULT MODE NETWORK
title_full SEVERITY ASSESSMENT OF SOCIAL ANXIETY DISORDER USING EEG SIGNALS IN DEFAULT MODE NETWORK
title_fullStr SEVERITY ASSESSMENT OF SOCIAL ANXIETY DISORDER USING EEG SIGNALS IN DEFAULT MODE NETWORK
title_full_unstemmed SEVERITY ASSESSMENT OF SOCIAL ANXIETY DISORDER USING EEG SIGNALS IN DEFAULT MODE NETWORK
title_sort severity assessment of social anxiety disorder using eeg signals in default mode network
publishDate 2022
url http://utpedia.utp.edu.my/id/eprint/31118/1/Abdulhaim%20Abdullah%20Al-Ezzi%20Mohammed_17007021.pdf
http://utpedia.utp.edu.my/id/eprint/31118/
_version_ 1825812476531310592
score 13.244413

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