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

AL-EZZI MOHAMMED, ABDULHAKIM ABDULLAH (2022) SEVERITY ASSESSMENT OF SOCIAL ANXIETY DISORDER USING EEG SIGNALS IN DEFAULT MODE NETWORK. Doctoral thesis, Universiti Teknologi PETRONAS.

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Item Type:	Thesis (Doctoral)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:	Engineering > Electrical and Electronic
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	04 Mar 2025 04:39
Last Modified:	04 Mar 2025 04:39
URI:	http://utpedia.utp.edu.my/id/eprint/31118

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