Iyad F. Jafar, Ph.D.
Affiliations: | 2008 | Computer Engineering | Wayne State University, Detroit, MI, United States |
Area:
Electronics and Electrical Engineering, Computer ScienceGoogle:
"Iyad Jafar"Parents
Sign in to add mentorHao Ying | grad student | 2008 | Wayne State | |
(The development and evaluation of novel algorithms for contrast enhancement in grayscale images.) |
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Publications
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Saifan R, Jafar I, Sukkar GA. (2017) Optimized Cooperative Spectrum Sensing Algorithms in Cognitive Radio Networks The Computer Journal. 60: 835-849 |
Darabkh KA, Al-Maaitah NJ, Jafar IF, et al. (2017) EA-CRP: A Novel Energy-aware Clustering and Routing Protocol in Wireless Sensor Networks Computers & Electrical Engineering. 72: 702-718 |
Darabkh KA, Albtoush WY, Jafar IF. (2017) Improved clustering algorithms for target tracking in wireless sensor networks The Journal of Supercomputing. 73: 1952-1977 |
Hiary S, Jafar I, Hiary H. (2017) An efficient multi-predictor reversible data hiding algorithm based on performance evaluation of different prediction schemes Multimedia Tools and Applications. 76: 2131-2157 |
Jaara EN, Jafar IF. (2016) Efficient Reversible Data Hiding Algorithms Based On Dual Prediction Signal & Image Processing : An International Journal. 7: 1-21 |
Sukkar GA, Saifan R, Khwaldeh S, et al. (2016) Address Resolution Protocol (ARP): Spoofing Attack and Proposed Defense Communications and Network. 8: 118-130 |
Jafar IF, Darabkh KA, Al-Zubi RT, et al. (2016) An efficient reversible data hiding algorithm using two steganographic images Signal Processing. 128: 98-109 |
Jafar IF, Darabkh KA, Saifan RR. (2016) SARDH: A novel sharpening-aware reversible data hiding algorithm☆ Journal of Visual Communication and Image Representation. 39: 239-252 |
Darabkh KA, Ibeid H, Jafar IF, et al. (2015) A generic buffer occupancy expression for stop-and-wait hybrid automatic repeat request protocol over unstable channels Telecommunication Systems. 1-17 |
Jafar IF, Darabkh KA, Al-Zubi RT, et al. (2014) Efficient Reversible Data Hiding Using Multiple Predictors Computer Journal. 59: 423-438 |