Kernel function and parameter selection evaluation based on analysis magnetic resonance imaging of brain images
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my-utm-ep.287202017-06-20T04:33:46Z Kernel function and parameter selection evaluation based on analysis magnetic resonance imaging of brain images 2011 Yudistira, Novanto QA75 Electronic computers. Computer science 2011 Thesis http://eprints.utm.my/id/eprint/28720/ masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System |
| institution |
Universiti Teknologi Malaysia |
| collection |
UTM Institutional Repository |
| topic |
QA75 Electronic computers Computer science |
| spellingShingle |
QA75 Electronic computers Computer science Yudistira, Novanto Kernel function and parameter selection evaluation based on analysis magnetic resonance imaging of brain images |
| description |
|
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Yudistira, Novanto |
| author_facet |
Yudistira, Novanto |
| author_sort |
Yudistira, Novanto |
| title |
Kernel function and parameter selection evaluation based on analysis magnetic resonance imaging of brain images |
| title_short |
Kernel function and parameter selection evaluation based on analysis magnetic resonance imaging of brain images |
| title_full |
Kernel function and parameter selection evaluation based on analysis magnetic resonance imaging of brain images |
| title_fullStr |
Kernel function and parameter selection evaluation based on analysis magnetic resonance imaging of brain images |
| title_full_unstemmed |
Kernel function and parameter selection evaluation based on analysis magnetic resonance imaging of brain images |
| title_sort |
kernel function and parameter selection evaluation based on analysis magnetic resonance imaging of brain images |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Computer Science and Information System |
| granting_department |
Faculty of Computer Science and Information System |
| publishDate |
2011 |
| _version_ |
1747815687501381632 |