Dheyaa Ahmed Ibrahim
Orcid: 0000-0001-7357-0045
According to our database1,
Dheyaa Ahmed Ibrahim
authored at least 21 papers
between 2017 and 2023.
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Bibliography
2023
ITS Based on Deep Graph Convolutional Fraud Detection Network Blockchain-Enabled Fog-Cloud.
IEEE Trans. Intell. Transp. Syst., August, 2023
Bio-inspired robotics enabled schemes in blockchain-fog-cloud assisted IoMT environment.
J. King Saud Univ. Comput. Inf. Sci., January, 2023
2022
Identifying defective solar cells in electroluminescence images using deep feature representations.
PeerJ Comput. Sci., 2022
Effective hybrid deep learning model for COVID-19 patterns identification using CT images.
Expert Syst. J. Knowl. Eng., 2022
2021
Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language.
J. Intell. Syst., 2021
Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images.
Appl. Artif. Intell., 2021
Proceedings of the 11th IEEE International Conference on System Engineering and Technology, 2021
Facial Expression Recognition Using Aggregated Handcrafted Descriptors based Appearance Method.
Proceedings of the 11th IEEE International Conference on System Engineering and Technology, 2021
2020
Fully automatic model-based segmentation and classification approach for MRI brain tumor using artificial neural networks.
Concurr. Comput. Pract. Exp., 2020
2019
K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor.
Soft Comput., 2019
A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues.
IEEE Access, 2019
2018
Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images.
J. Medical Syst., 2018
Comput. Electr. Eng., 2018
Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images.
Comput. Electr. Eng., 2018
2017
Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution.
J. Comput. Sci., 2017
Solving vehicle routing problem by using improved genetic algorithm for optimal solution.
J. Comput. Sci., 2017
Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma.
J. Comput. Sci., 2017
Review on Nasopharyngeal Carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literature.
J. Comput. Sci., 2017
Analysis of an electronic methods for nasopharyngeal carcinoma: Prevalence, diagnosis, challenges and technologies.
J. Comput. Sci., 2017
Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach.
J. Comput. Sci., 2017
Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Images.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017