An improved computational model for classification of 3D spatio temporal FMRI data

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An improved computational model for classification of 3D spatio temporal FMRI data

3D spatial temporal functional magnetic resonance imaging (fMRI) for classification has gained wide attention in the literature to be applied in the application of data mining techniques. Similarly, Spiking Neural Networks (SNN) has successfully applied in many problems to process and classify fMRI...

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Bibliographic Details
Main Author:	Saharuddin, Shaznoor Shakira
Format:	Thesis
Language:	English English English
Published:	2018
Subjects:	QA299.6-433 Analysis
Online Access:	http://eprints.uthm.edu.my/522/ http://eprints.uthm.edu.my/522/1/24p%20SHAZNOOR%20SHAKIRA%20BINTI%20SAHARUDDIN.pdf http://eprints.uthm.edu.my/522/2/SHAZNOOR%20SHAKIRA%20BINTI%20SAHARUDDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/522/3/SHAZNOOR%20SHAKIRA%20BINTI%20SAHARUDDIN%20WATERMARK.pdf

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