Development of Extraversion Classification Framework Based on Sample Entropy with Varying EEG Epoch Lengths

Nur Syahirah Binti Roslan Development of Extraversion Classification Framework Based on Sample Entropy with Varying EEG Epoch Lengths. Doctoral thesis, UNSPECIFIED.

[thumbnail of TESTING PAGE FOR SELF DEPOSIT PROCESS FLOW.pdf]
Preview
Text
TESTING PAGE FOR SELF DEPOSIT PROCESS FLOW.pdf - Submitted Version

Download (14kB) | Preview
[thumbnail of TESTING PAGE FOR SELF DEPOSIT PROCESS FLOW.pdf]
Preview
Text
TESTING PAGE FOR SELF DEPOSIT PROCESS FLOW.pdf

Download (14kB) | Preview

Abstract

Development of Extraversion Classification Framework Based on Sample Entropy with Varying EEG Epoch Lengths

Item Type: Thesis (Doctoral)
Subjects: Electrical and Electronics > Instrumentation and Control
Departments / MOR / COE: Engineering > Electrical and Electronic
Depositing User: Miss Hamidah Nasaruddin
Date Deposited: 15 Jan 2024 02:56
Last Modified: 15 Jan 2024 02:56
URI: http://utpedia.utp.edu.my/id/eprint/25613

Actions (login required)

View Item
View Item