59 citations · 175 across the 6 of their papers we have counts for
7 papers
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models
Luke K. Topham, Wasiq Khan, Dhiya Al-Jumeily +1
Person identification is a problem that has received substantial attention, particularly in security domains. Gait recognition is one of the most convenient approaches enabling per…
Fast Computation of Hahn Polynomials for High Order Moments
Basheera M. Mahmmod, Sadiq H. Abdulhussain, Tomáš Suk +1
Discrete Hahn polynomials (DHPs) and their moments are considered to be one of the efficient orthogonal moments and they are applied in various scientific areas such as image proce…
Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)
Sohail Ahmed Khan, Wasiq Khan, Abir Hussain
Phishing attacks are the most common type of cyber-attacks used to obtain sensitive information and have been affecting individuals as well as organisations across the globe. Vario…
Analysing the impact of global demographic characteristics over the COVID-19 spread using class rule mining and pattern matching
Wasiq Khan, Abir Hussain, Sohail Ahmed Khan +3
Since the coronavirus disease (COVID-19) outbreak in December 2019, studies have been addressing diverse aspects in relation to COVID-19 and Variant of Concern 202012/01 (VOC 20201…
GRAPE: Genetic Routine for Astronomical Period Estimation
Paul R. McWhirter, Iain A. Steele, Abir Hussain +2
Period estimation is an important task in the classification of many variable astrophysical objects. Here we present GRAPE: Genetic Routine for Astronomical Period Estimation, a ge…
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data
Casimiro A. Curbelo Montañez, Paul Fergus, Carl Chalmers +1
The aetiology of polygenic obesity is multifactorial, which indicates that life-style and environmental factors may influence multiples genes to aggravate this disorder. Several lo…
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs
Casimiro Adays Curbelo Montañez, Paul Fergus, Almudena Curbelo Montañez +1
In this paper, association results from genome-wide association studies (GWAS) are combined with a deep learning framework to test the predictive capacity of statistically signific…