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Emad Ahmed Mohammed

Observed names: Emad A. Mohammed, Emad A Mohammed, Emad A. Mohammed, Emad A.Mohammed, Emad Mohammed, Mohammed, Emad, Mohammed, Emad A.
Observed institutions: Thompson Rivers University, University of Calgary, The University of Kitakyushu, Institute of Electrical and Electronics Engineers, Calgary Laboratory Services, Northern Technical University, Lakehead University, Wilfrid Laurier University
ORCID: 0000-0001-8722-4856
Observed ORCIDs: 0000-0001-8722-4856, 0000-0002-2575-6213
OpenAlex ID: A5008595017
Supervised Machine Learning Algorithms for Credit Card Fraudulent Transaction Detection: A Comparative Study
2018 · Sahil Dhankhad, Emad Mohammed, et al. · IEEE International Conference on Information Reuse and Integration (IRI) · 213
Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends
2014 · Emad A Mohammed, Behrouz H Far, et al. · BioData Mining · 145
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An ensemble learning approach to digital corona virus preliminary screening from cough sounds
2021 · Emad A. Mohammed, Mohammad Keyhani, et al. · Scientific Reports · 92
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Chronic lymphocytic leukemia cell segmentation from microscopic blood images using watershed algorithm and optimal thresholding
2013 · Emad A. Mohammed, Mostaja M. A. Mohamed, et al. · IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) · 65
Emerging Business Intelligence Framework for a Clinical Laboratory Through Big Data Analytics
2015 · Emad A. Mohammed, Christopher Naugler, et al. · Elsevier eBooks · 64
Peripheral blood smear image analysis: A comprehensive review
2014 · Emad A. Mohammed, Mostafa M.A. Mohamed, et al. · Journal of Pathology Informatics · 57
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Employing a Machine Learning Boosting Classifiers Based Stacking Ensemble Model for Detecting Non Technical Losses in Smart Grids
2022 · Pamir, Nadeem Javaid, et al. · IEEE Access · 48
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Application of Data Mining Techniques to Predict the Length of Stay of Hospitalized Patients with Diabetes
2018 · Ayman Alahmar, Emad Mohammed, et al. · 34
Application of Support Vector Machine and k-means clustering algorithms for robust chronic lymphocytic leukemia color cell segmentation
2013 · Emad A. Mohammed, Behrouz H. Far, et al. · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · 28
Data Diversity in Convolutional Neural Network Based Ensemble Model for Diabetic Retinopathy
2023 · Inamullah, Saima Hassan, et al. · Biomimetics · 24
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Breast tumor classification using a new OWA operator
2016 · Emad A. Mohammed, Christopher T. Naugler, et al. · Expert Systems with Applications · 24
Detecting Nontechnical Losses in Smart Meters Using a MLP-GRU Deep Model and Augmenting Data via Theft Attacks
2022 · Benish Kabir, Umar Qasim, et al. · Sustainability · 20
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Charging Station of Electric Vehicle Based on IoT: A Review
2022 · Mahmood H. Qahtan, Emad A. Mohammed, et al. · OALib · 18
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Recognition of multifont English electronic prescribing based on convolution neural network algorithm
2020 · Muthana J. Mohammed, Emad A. Mohammed, et al. · Bio-Algorithms and Med-Systems · 16
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease
2020 · Yang, Kuo, Mohammed, Emad A. · arXiv (Cornell University) · 15
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Generating unique IDs from patient identification data using security models
2016 · Emad A. Mohammed, Jonathan C. Slack, et al. · Journal of Pathology Informatics · 15
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Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus
2023 · Esmaeil Shakeri, Trafford Crump, et al. · SN Computer Science · 14
IoT-Based Monitoring and Management Power Sub-Station of the University of Mosul
2020 · Emad A. Mohammed, Ahamad F. Al-Allaf, et al. · IOP Conference Series Materials Science and Engineering · 14
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A Cluster-Based Machine Learning Model for Large Healthcare Data Analysis
2019 · Fatemeh Sharifi, Emad Mohammed, et al. · Communications in computer and information science · 11
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images
2021 · Kuo Yang, Emad A. Mohammed, et al. · IEEE International Conference on Information Reuse and Integration for Data Science (IRI) · 10
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Toward leveraging big value from data: chronic lymphocytic leukemia cell classification
2017 · Emad A. Mohammed, Mostafa M. A. Mohamed, et al. · Network Modeling Analysis in Health Informatics and Bioinformatics · 10
Honesty-Based Social Technique to Enhance Cooperation in Social Internet of Things
2023 · Shad Muhammad, Muhammad Umar, et al. · Applied Sciences · 9
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An Implicit Learning Approach for Solving the Nurse Scheduling Problem
2021 · Aymen Ben Said, Emad A. Mohammed, et al. · Lecture notes in computer science · 9
TentNet: Deep Learning Tent Detection Algorithm Using A Synthetic Training Approach
2020 · Andrew Fisher, Emad A. Mohammed, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 9
Deep Learning-Based Detection and Classification of Uveal Melanoma Using Convolutional Neural Networks and SHAP Analysis
2023 · Esmaeil Shakeri, Emad Mohammed, et al. · IEEE International Conference on Information Reuse and Integration for Data Science (IRI) · 7
Works count: 63
Citation count: 1,013
H-index: 15
I10-index: 21
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