162 citations
- The University of Western AustraliaAU4 papers
- DHA Suffa UniversityPK2 papers
- Iqra UniversityPK2 papers
- Korea Advanced Institute of Science and TechnologyKR2 papers
- Singapore University of Technology and DesignSG2 papers
- University of LausanneCH2 papers
- Applied Technologies (United States)US1 paper
- Institute of Business ManagementPK1 paper
- Institut National Polytechnique Félix Houphouët-BoignyCI1 paper
- King Abdulaziz UniversitySA1 paper
- Mohammad Ali Jinnah UniversityPK1 paper
- Murphy Oil Corporation (United States)US1 paper
11 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…