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
22 papers
Adaptive Image Restoration for Video Surveillance: A Real-Time Approach
Muhammad Awais Amin, Adama Ilboudo, Abdul Samad bin Shahid +2
One of the major challenges in the field of computer vision especially for detection, segmentation, recognition, monitoring, and automated solutions, is the quality of images. Imag…
Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations
Muhammad Azmi Umer, Khurum Nazir Junejo, Muhammad Taha Jilani +1
Methods from machine learning are being applied to design Industrial Control Systems resilient to cyber-attacks. Such methods focus on two major areas: the detection of intrusions…
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…
Constraining deceleration, jerk and transition redshift using cosmic chronometers, Type Ia supernovae and ISW effect
Syed Faisal ur Rahman
In this study we present constraints on the deceleration (q) and jerk (j) parameters using the late time integrated Sachs-Wolfe effect, type Ia supernovae, and H(z) data . We first…
Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning
Muhammad Azmi Umer, Chuadhry Mujeeb Ahmed, Muhammad Taha Jilani +1
Adversarial learning is used to test the robustness of machine learning algorithms under attack and create attacks that deceive the anomaly detection methods in Industrial Control…
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…
Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks
Alishba Sadiq, Muhammad Sohail Ibrahim, Muhammad Usman +2
Due to the dynamic nature, chaotic time series are difficult predict. In conventional signal processing approaches signals are treated either in time or in space domain only. Spati…
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…
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…
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…
Generating online social networks based on socio-demographic attributes
Muhammad Qasim Pasta, Faraz Zaidi, Céline Rozenblat
Recent years have seen tremendous growth of many online social networks such as Facebook, LinkedIn and MySpace. People connect to each other through these networks forming large so…
Resilience of Social Networks Under Different Attack Strategies
Mohammad Ayub Latif, Muhammad Naveed, Faraz Zaidi
Recent years have seen the world become a closely connected society with the emergence of different types of social networks. Online social networks have provided a way to bridge l…
Demographic and Structural Characteristics to Rationalize Link Formation in Online Social Networks
Muhammad Qasim Pasta, Zohaib Jan, Faraz Zaidi +1
Recent years have seen tremendous growth of many online social networks such as Facebook, LinkedIn and MySpace. People connect to each other through these networks forming large so…
Are all Social Networks Structurally Similar? A Comparative Study using Network Statistics and Metrics
Aneeq Hashmi, Faraz Zaidi, Arnaud Sallaberry +1
The modern age has seen an exponential growth of social network data available on the web. Analysis of these networks reveal important structural information about these networks i…
Tunable and Growing Network Generation Model with Community Structures
Mohammad Qasim Pasta, Zohaib Jan, Arnaud Sallaberry +1
Recent years have seen a growing interest in the modeling and simulation of social networks to understand several social phenomena. Two important classes of networks, small world a…