37 citations · 47 across the 11 of their papers we have counts for
14 papers
CAMP: A Context-Aware Cricket Players Performance Metric
Muhammad Sohaib Ayub, Naimat Ullah, Sarwan Ali +4
Cricket is the second most popular sport after soccer in terms of viewership. However, the assessment of individual player performance, a fundamental task in team sports, is curren…
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers
Haris Mansoor, Sarwan Ali, Shafiq Alam +3
Analysis of the fairness of machine learning (ML) algorithms recently attracted many researchers' interest. Most ML methods show bias toward protected groups, which limits the appl…
Efficient Approximate Kernel Based Spike Sequence Classification
Sarwan Ali, Bikram Sahoo, Muhammad Asad Khan +3
Machine learning (ML) models, such as SVM, for tasks like classification and clustering of sequences, require a definition of distance/similarity between pairs of sequences. Severa…
SsAG: Summarization and sparsification of Attributed Graphs
Sarwan Ali, Muhammad Ahmad, Maham Anwer Beg +3
We present SsAG, an efficient and scalable lossy graph summarization method that retains the essential structure of the original graph. SsAG computes a sparse representation (summa…
Effective and scalable clustering of SARS-CoV-2 sequences
Sarwan Ali, Tamkanat-E-Ali, Muhammad Asad Khan +2
SARS-CoV-2, like any other virus, continues to mutate as it spreads, according to an evolutionary process. Unlike any other virus, the number of currently available sequences of SA…
Permissioned Blockchain-Based Security for SDN in IoT Cloud Networks
Safi Faizullah, Muhammad Asad Khan, Ali Alzahrani +1
The advancement in cloud networks has enabled connectivity of both traditional networked elements and new devices from all walks of life, thereby forming the Internet of Things (Io…
Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal
Asad Ullah, Sarwan Ali, Imdadullah Khan +2
Electromyography (EMG) signals have been successfully employed for driving prosthetic limbs of a single or double degree of freedom. This principle works by using the amplitude of…
Fair Allocation Based Soft Load Shedding
Sarwan Ali, Haris Mansoor, Imdadullah Khan +3
Renewable sources are taking center stage in electricity generation. Due to the intermittent nature of these renewable resources, the problem of the demand-supply gap arises. To so…
Short-Term Load Forecasting Using AMI Data
Haris Mansoor, Sarwan Ali, Imdadullah Khan +3
Accurate short-term load forecasting is essential for the efficient operation of the power sector. Forecasting load at a fine granularity such as hourly loads of individual househo…
Predicting Attributes of Nodes Using Network Structure
Sarwan Ali, Muhammad Haroon Shakeel, Imdadullah Khan +2
In many graphs such as social networks, nodes have associated attributes representing their behavior. Predicting node attributes in such graphs is an important problem with applica…
Detecting DDoS Attack on SDN Due to Vulnerabilities in OpenFlow
Sarwan Ali, Maria Khalid Alvi, Safi Faizullah +3
Software Defined Networking (SDN) is a network paradigm shift that facilitates comprehensive network programmability to cope with emerging new technologies such as cloud computing…
CRT Based Spectral Convolution in Binary Fields
Muhammad Asad Khan, Sajid Saleem, Amir A Khan
In this paper, new results on convolution of spectral components in binary fields have been presented for combiatorial sequences. A novel method of convolution of DFT points throug…
CRT and Fixed Patterns in Combinatorial Sequences
Muhammad Asad Khan, Amir Ali Khan, Fauzan Mirza
In this paper, new context of Chinese Remainder Theorem (CRT) based analysis of combinatorial sequence generators has been presented. CRT is exploited to establish fixed patterns i…
Transform Domain Analysis of Sequences
Muhammad Asad Khan, Amir A Khan, Fauzan Mirza
In cryptanalysis, security of ciphers vis-a-vis attacks is gauged against three criteria of complexities, i.e., computations, memory and time. Some features may not be so apparent…