162 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of Western AustraliaAU7 papers
- Iqra UniversityPK5 papers
- Korea Advanced Institute of Science and TechnologyKR5 papers
- King Abdulaziz UniversitySA4 papers
- University of LausanneCH3 papers
- DHA Suffa UniversityPK2 papers
- Singapore University of Technology and DesignSG2 papers
- University of MonsBE2 papers
- Applied Technologies (United States)US1 paper
- ILMA UniversityPK1 paper
- Institute of Business ManagementPK1 paper
- Institut National Polytechnique Félix Houphouët-BoignyCI1 paper
6 papers · 1 filter
q-LMF: Quantum Calculus-based Least Mean Fourth Algorithm
Alishba Sadiq, Muhammad Usman, Shujaat Khan +3
Channel estimation is an essential part of modern communication systems as it enhances the overall performance of the system. In recent past a variety of adaptive learning methods…
A Novel Compressed Sensing Technique for Traffic Matrix Estimation of Software Defined Cloud Networks
Sameer Qazi, Syed Muhammad Atif, Muhammad Bilal Kadri
Traffic Matrix estimation has always caught attention from researchers for better network management and future planning. With the advent of high traffic loads due to Cloud Computi…
RAFP-Pred: Robust Prediction of Antifreeze Proteins using Localized Analysis of n-Peptide Compositions
Shujaat Khan, Imran Naseem, Roberto Togneri +1
In extreme cold weather, living organisms produce Antifreeze Proteins (AFPs) to counter the otherwise lethal intracellular formation of ice. Structures and sequences of various AFP…
Improved SVD-based Initialization for Nonnegative Matrix Factorization using Low-Rank Correction
Atif Muhammad Syed, Sameer Qazi, Nicolas Gillis
Due to the iterative nature of most nonnegative matrix factorization (\textsc{NMF}) algorithms, initialization is a key aspect as it significantly influences both the convergence a…
Comments on "Momentum fractional LMS for power signal parameter estimation"
Shujaat Khan, Imran Naseem, Alishba Sadiq +2
The purpose of this paper is to indicate that the recently proposed Momentum fractional least mean squares (mFLMS) algorithm has some serious flaws in its design and analysis. Our…
Enhanced -Least Mean Square
Shujaat Khan, Alishba Sadiq, Imran Naseem +2
In this work, a new class of stochastic gradient algorithm is developed based on -calculus. Unlike the existing -LMS algorithm, the proposed approach fully utilizes the conce…