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recommend its acceptance:

by Gregory Peterson, Jack S. Lawler, Donald W. Bouldin, Muhammad Imran Sharafat , 2007
"... To the Graduate Council: I am submitting here with a thesis written by Muhammad Imran Sharafat entitled “FPGA-based Image Analysis System for Cotton Classing”. I have examined the final electronic copy of this thesis for form and content and recommend that it be accepted in partial fulfillment for t ..."
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To the Graduate Council: I am submitting here with a thesis written by Muhammad Imran Sharafat entitled “FPGA-based Image Analysis System for Cotton Classing”. I have examined the final electronic copy of this thesis for form and content and recommend that it be accepted in partial fulfillment

Explore the Adoption of HRIS in Telecom Sector in Pakistan

by Muhammad Imran Hanif, Shao Yunfei, Muhammad Shahzad Hanif, Zia Ullah Muhammad, Khawaja Tehseen Ahmed, Bai Xiu-yin
"... Copyright: © 2014 Muhammad Imran Hanif, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The purpose of t ..."
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Copyright: © 2014 Muhammad Imran Hanif, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The purpose

Research Article Stochastic Optimized Relevance Feedback Particle Swarm Optimization for Content Based Image Retrieval

by Muhammad Imran, Rathiah Hashim, Abd Khalid Noor Elaiza, Aun Irtaza
"... Copyright © 2014 Muhammad Imran et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. One of the major challenges for the CBIR is to ..."
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Copyright © 2014 Muhammad Imran et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. One of the major challenges for the CBIR
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