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...
Saved in:
Main Author: | Saharuddin, Shaznoor Shakira |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2018
|
Subjects: | |
Online Access: | 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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced Supervised Fuzzy Clustering For Pattern Classification
by: Lim , Kian Ming
Published: (2010) -
Unemployment in ASEAN countries: panel data analysis
by: Muhamad Mustaqim Azmi, Hamdan Kumaran
Published: (2021) -
Analysis of Bankruptcy using Data Mining Approach
by: Ong, Ai Ping
Published: (2009) -
Computational analysis on stent geometries in carotid artery
by: Paisal, Muhammad Sufyan Amir
Published: (2018) -
Enhanced single exponential smoothing technique for extreme data
by: Noor Shahifah, Muhamad
Published: (2015)