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Emad Amin Mohammed, Ph.D., P.Eng.
Emad Amin Mohammed, Ph.D., P.Eng.
Assistant Professor - Physics and Computer Science - Wilfrid Laurier University
Verified email at wlu.ca
Title
Cited by
Cited by
Year
Supervised machine learning algorithms for credit card fraudulent transaction detection: a comparative study
S Dhankhad, E Mohammed, B Far
2018 IEEE international conference on information reuse and integration (IRI …, 2018
2482018
Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends
EA Mohammed, BH Far, C Naugler
BioData mining 7, 1-23, 2014
1912014
Emerging Business Intelligence Framework for a Clinical Laboratory Through Big Data Analytics
EA Mohammed, C Naugler, BH Far
Emerging Trends in Computational Biology, Bioinformatics, and Systems …, 2015
119*2015
Chronic lymphocytic leukemia cell segmentation from microscopic blood images using watershed algorithm and optimal thresholding
EA Mohammed, MMA Mohamed, C Naugler, BH Far
2013 26th IEEE Canadian Conference on Electrical and Computer Engineering …, 2013
782013
An ensemble learning approach to digital corona virus preliminary screening from cough sounds
EA Mohammed, M Keyhani, A Sanati-Nezhad, SH Hejazi, BH Far
Scientific Reports 11 (1), 15404, 2021
762021
Peripheral blood smear image analysis: A comprehensive review
EA Mohammed, MMA Mohamed, BH Far, C Naugler
Journal of pathology informatics 5 (1), 9, 2014
682014
Application of data mining techniques to predict the length of stay of hospitalized patients with diabetes
A Alahmar, E Mohammed, R Benlamri
2018 4th International Conference on Big Data Innovations and Applications …, 2018
462018
Breast tumor classification using a new OWA operator
EA Mohammed, CT Naugler, BH Far
Expert Systems with Applications 61, 302-313, 2016
302016
Application of Support Vector Machine and k-means clustering algorithms for robust chronic lymphocytic leukemia color cell segmentation
EA Mohammed, BH Far, C Naugler, MMA Mohamed
e-Health Networking, Applications & Services (Healthcom), 2013 IEEE 15th …, 2013
282013
A review of artificial intelligence technologies for early prediction of Alzheimer's disease
K Yang, EA Mohammed
arXiv preprint arXiv:2101.01781, 2020
192020
Employing a machine learning boosting classifiers based stacking ensemble model for detecting non technical losses in smart grids
N Javaid, M Akbar, A Aldegheishem, N Alrajeh, EA Mohammed
IEEE Access 10, 121886-121899, 2022
152022
Generating unique IDs from patient identification data using security models
EA Mohammed, JC Slack, CT Naugler
Journal of pathology informatics 7 (1), 55, 2016
152016
Toward leveraging big value from data: chronic lymphocytic leukemia cell classification
EA Mohammed, MMA Mohamed, C Naugler, BH Far
Network Modeling Analysis in Health Informatics and Bioinformatics 6, 1-17, 2017
132017
Data diversity in convolutional neural network based ensemble model for diabetic retinopathy
Inamullah, S Hassan, NA Alrajeh, EA Mohammed, S Khan
Biomimetics 8 (2), 187, 2023
112023
Detecting nontechnical losses in smart meters using a MLP-GRU deep model and augmenting data via theft attacks
B Kabir, U Qasim, N Javaid, A Aldegheishem, N Alrajeh, EA Mohammed
Sustainability 14 (22), 15001, 2022
112022
Deep Learning Approach for Aggressive Driving Behaviour Detection
F Talebloo, EA Mohammed, B Far
arXiv preprint arXiv:2111.04794, 2021
82021
Exploring features contributing to the early prediction of sepsis using machine learning
E Shakeri, EA Mohammed, ZS HA, B Far
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
82021
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images
K Yang, EA Mohammed, BH Far
2021 IEEE 22nd international conference on information reuse and integration …, 2021
82021
A cluster-based machine learning model for large healthcare data analysis
F Sharifi, E Mohammed, T Crump, BH Far
Big Data Innovations and Applications: 5th International Conference …, 2019
82019
An implicit learning approach for solving the nurse scheduling problem
A Ben Said, EA Mohammed, M Mouhoub
Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021
72021
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