A
Adnan Ahmad
Researcher at COMSATS Institute of Information Technology
Publications - 41
Citations - 439
Adnan Ahmad is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Access control & Data compression. The author has an hindex of 9, co-authored 38 publications receiving 331 citations. Previous affiliations of Adnan Ahmad include Lahore University of Management Sciences & Saint Louis University Madrid Campus.
Papers
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Journal ArticleDOI
Co-LAEEBA
Syed Hassan Ahmed,Nadeem Javaid,S. Yousaf,Adnan Ahmad,Muhammad Moid Sandhu,Muhammad Imran,Zahoor Ali Khan,Nabil Alrajeh +7 more
TL;DR: Simulation results show improved performance of the proposed protocols in comparison to the selected existing ones in terms of the chosen performance metrics.
Journal ArticleDOI
Efficient block size selection in H.264 video coding standard
TL;DR: An improvement in the encoding time with negligible impact on subjective and quantitative performance has been achieved and an efficient variable block size mode in H.264 is considered.
Journal ArticleDOI
A priority-induced demand side management system to mitigate rebound peaks using multiple knapsack
TL;DR: Simulations validate that the proposed priority-induced DSM strategy successfully shifts the appliance operations to off-peak time slots, which consequently leads to substantial electricity cost savings in reasonable waiting time, and also helps in reducing the peak load demand from the smart grid.
Proceedings ArticleDOI
Selection of variable block sizes in H.264
TL;DR: An improvement in the encoding time with negligible impact on the subjective and quantitative performance has been achieved and new techniques for intelligent selection of the variable block sizes have been developed to reduce the computational complexity without sacrificing the quality of the coder.
Journal ArticleDOI
Channel Clustering and QoS Level Identification Scheme for Multi-Channel Cognitive Radio Networks
Amjad Ali,Amjad Ali,Ibrar Yaqoob,Ejaz Ahmed,Muhammad Imran,Kyung Sup Kwak,Adnan Ahmad,Syed Asad Hussain,Zulfiqar Ali +8 more
TL;DR: A novel Bayesian non-parametric channel clustering scheme is presented, which identifies the QoS levels supported over available license channels from the feature space of the bit rate, packet delivery ratio, and packet delay variation of licensed channels.