45 citations · 149 across the 14 of their papers we have counts for
15 papers
Anticancer Peptides Classification using Kernel Sparse Representation Classifier
Ehtisham Fazal, Muhammad Sohail Ibrahim, Seongyong Park +2
Cancer is one of the most challenging diseases because of its complexity, variability, and diversity of causes. It has been one of the major research topics over the past decades,…
Structured Nonnegative Matrix Factorization for Traffic Flow Estimation of Large Cloud Networks
Syed Muhammad Atif, Nicolas Gillis, Sameer Qazi +1
Network traffic matrix estimation is an ill-posed linear inverse problem: it requires to estimate the unobservable origin destination traffic flows, X, given the observable link tr…
Performance Analysis of Fractional Learning Algorithms
Abdul Wahab, Shujaat Khan, Imran Naseem +1
Fractional learning algorithms are trending in signal processing and adaptive filtering recently. However, it is unclear whether the proclaimed superiority over conventional algori…
A Novel Quantum Calculus-based Complex Least Mean Square Algorithm (q-CLMS)
Alishba Sadiq, Imran Naseem, Shujaat Khan +3
In this research, a novel adaptive filtering algorithm is proposed for complex domain signal processing. The proposed algorithm is based on Wirtinger calculus and is called as q-Co…
q-RBFNN:A Quantum Calculus-based RBF Neural Network
Syed Saiq Hussain, Muhammad Usman, Taha Hasan Masood Siddique +3
In this research a novel stochastic gradient descent based learning approach for the radial basis function neural networks (RBFNN) is proposed. The proposed method is based on the…
Multi-Kernel Fusion for RBF Neural Networks
Syed Muhammad Atif, Shujaat Khan, Imran Naseem +2
A simple yet effective architectural design of radial basis function neural networks (RBFNN) makes them amongst the most popular conventional neural networks. The current generatio…
Heart Segmentation From MRI Scans Using Convolutional Neural Network
Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Muhammad Usman +2
Heart is one of the vital organs of human body. A minor dysfunction of heart even for a short time interval can be fatal, therefore, efficient monitoring of its physiological state…
Spatio-Temporal RBF Neural Networks
Shujaat Khan, Jawwad Ahmad, Alishba Sadiq +2
Herein, we propose a spatio-temporal extension of RBFNN for nonlinear system identification problem. The proposed algorithm employs the concept of time-space orthogonality and sepa…
A Novel Adaptive Kernel for the RBF Neural Networks
Shujaat Khan, Imran Naseem, Roberto Togneri +1
In this paper, we propose a novel adaptive kernel for the radial basis function (RBF) neural networks. The proposed kernel adaptively fuses the Euclidean and cosine distance measur…
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…
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…
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…
A Robust Variable Step Size Fractional Least Mean Square (RVSS-FLMS) Algorithm
Shujaat Khan, Muhammad Usman, Imran Naseem +2
In this paper, we propose an adaptive framework for the variable step size of the fractional least mean square (FLMS) algorithm. The proposed algorithm named the robust variable st…
RVP-FLMS : A Robust Variable Power Fractional LMS Algorithm
Jawwad Ahmad, Muhammad Usman, Shujaat Khan +2
In this paper, we propose an adaptive framework for the variable power of the fractional least mean square (FLMS) algorithm. The proposed algorithm named as robust variable power F…