A novel parallel feature extraction method using HGAPSO and GLCO based SFTA
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
| Главные авторы: | , , , |
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| Другие авторы: | |
| Формат: | Диссертация |
| Язык: | English |
| Опубликовано: |
BRAC University
2016
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| Предметы: | |
| Online-ссылка: | http://hdl.handle.net/10361/5308 |
| Итог: | This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. |
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