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.
Main Authors: | Hasan, Md. Junayed, Khan, Nazmul Kabir, Hridi, Navila Alam, Ontora, Fariha Tahsin |
---|---|
Andre forfattere: | Uddin, Jia |
Format: | Thesis |
Sprog: | English |
Udgivet: |
BRAC University
2016
|
Fag: | |
Online adgang: | http://hdl.handle.net/10361/5308 |
Lignende værker
-
A novel modified SFTA approach for feature extraction
af: Hasan, Md Junayed, et al.
Udgivet: (2018) -
2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU
af: Raja, Sharif Ahmmad, et al.
Udgivet: (2016) -
Comparative analysis of protein alignment algorithms in parallel environment using CUDA
af: Fahim, Shadman, et al.
Udgivet: (2016) -
Improve computational complexity of sobel edge detection using parallel contract anytime algorithm
af: Hossain, Md. Kamal, et al.
Udgivet: (2016) -
Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application
af: Joyee, Faiza Nuzhat, et al.
Udgivet: (2016)