Mazin Abed Mohammed
Mazin Abed Mohammed
University of Anbar, Iraq
Zweryfikowany adres z uoanbar.edu.iq - Strona główna
Cytowane przez
Cytowane przez
Enabling technologies for fog computing in healthcare IoT systems
AA Mutlag, MKA Ghani, N Arunkumar, MA Mohammed, O Mohd
Future Generation Computer Systems 90, 62-78, 2019
Solving vehicle routing problem by using improved genetic algorithm for optimal solution
MA Mohammed, MK Abd Ghani, RI Hamed, SA Mostafa, MS Ahmad, ...
Journal of computational science 21, 255-262, 2017
Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images
MA Mohammed, B Al-Khateeb, AN Rashid, DA Ibrahim, MK Abd Ghani, ...
Computers & Electrical Engineering 70, 871-882, 2018
Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson’s disease
SA Mostafa, A Mustapha, MA Mohammed, RI Hamed, N Arunkumar, ...
Cognitive Systems Research 54, 90-99, 2019
Benchmarking methodology for selection of optimal COVID-19 diagnostic model based on entropy and TOPSIS methods
MA Mohammed, KH Abdulkareem, AS Al-Waisy, SA Mostafa, ...
Ieee Access 8, 99115-99131, 2020
Fully automatic model‐based segmentation and classification approach for MRI brain tumor using artificial neural networks
N Arunkumar, MA Mohammed, SA Mostafa, DA Ibrahim, JJPC Rodrigues, ...
Concurrency and Computation: Practice and Experience 32 (1), e4962, 2020
A review of fog computing and machine learning: concepts, applications, challenges, and open issues
KH Abdulkareem, MA Mohammed, SS Gunasekaran, MN Al-Mhiqani, ...
IEEE Access 7, 153123-153140, 2019
K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor
N Arunkumar, MA Mohammed, MKA Ghani, DA Ibrahim, E Abdulhay, ...
Soft Computing 23 (19), 9083–9096, 2019
Voice Pathology Detection and Classification Using Convolutional Neural Network Model
MA Mohammed, KH Abdulkareem, SA Mostafa, MKA Ghani, MS Maashi, ...
Applied Sciences 10 (11), 3723, 2020
Comprehensive review of artificial intelligence and statistical approaches in distributed denial of service attack and defense methods
BA Khalaf, SA Mostafa, A Mustapha, MA Mohammed, WM Abduallah
IEEE Access 7, 51691-51713, 2019
Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques
MK Abd Ghani, MA Mohammed, N Arunkumar, SA Mostafa, DA Ibrahim, ...
Neural Computing and Applications 32 (3), 625-638, 2020
A fuzzy logic control in adjustable autonomy of a multi-agent system for an automated elderly movement monitoring application
SA Mostafa, A Mustapha, MA Mohammed, MS Ahmad, MA Mahmoud
International journal of medical informatics 112, 173-184, 2018
Realizing an effective COVID-19 diagnosis system based on machine learning and IOT in smart hospital environment
KH Abdulkareem, MA Mohammed, A Salim, M Arif, O Geman, D Gupta, ...
IEEE Internet of Things Journal 8 (21), 15919-15928, 2021
A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear
MA Mohammed, MKA Ghani, N Arunkumar, RI Hamed, MK Abdullah, ...
Future Generation Computer Systems 89, 539-547, 2018
COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images
AS Al-Waisy, S Al-Fahdawi, MA Mohammed, KH Abdulkareem, ...
Soft computing, 1-16, 2020
Evaluating the Performance of Machine Learning Techniques in the Classification of Wisconsin Breast Cancer
OI Obaid, MA Mohammed, MKA Ghani, SA Mostafa, F Taha
International Journal of Engineering & Technology 7 (4.36), 160-166, 2018
Genetic case-based reasoning for improved mobile phone faults diagnosis
MA Mohammed, MK Abd Ghani, N Arunkumar, OI Obaid, SA Mostafa, ...
Computers & Electrical Engineering 71, 212-222, 2018
Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution
MA Mohammed, MK Abd Ghani, RI Hamed, SA Mostafa, DA Ibrahim, ...
Journal of Computational Science 21, 232-240, 2017
Efficient detection of knee anterior cruciate ligament from magnetic resonance imaging using deep learning approach
M Javed Awan, MS Mohd Rahim, N Salim, MA Mohammed, ...
Diagnostics 11 (1), 105, 2021
Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach
MA Mohammed, MK Abd Ghani, RI Hamed, MK Abdullah, DA Ibrahim
Journal of Computational Science 20, 61-69, 2017
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