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ORCIDMahmoud Khaled Abd-Ellah
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2020 – today
- 2024
[j6]Mustafa El-Rawy, Sally Y. Sayed, Mohamed A. E. Abdelrahman, Atef Makhloof, Nassir Al-Arifi, Mahmoud Khaled Abd-Ellah:
Assessing and segmenting salt-affected soils using in-situ EC measurements, remote sensing, and a modified deep learning MU-NET convolutional neural network. Ecol. Informatics 81: 102652 (2024)- [j5]Gerges M. Salama
, Asmaa Mohamed, Mahmoud Khaled Abd-Ellah:
COVID-19 classification based on a deep learning and machine learning fusion technique using chest CT images. Neural Comput. Appl. 36(10): 5347-5365 (2024) - 2023
- [j4]Ali Ismail Awad, Mostafa Shokry, Ashraf A. M. Khalaf, Mahmoud Khaled Abd-Ellah:
Assessment of potential security risks in advanced metering infrastructure using the OCTAVE Allegro approach. Comput. Electr. Eng. 108: 108667 (2023) - [j3]Mahmoud Khaled Abd-Ellah, Ashraf A. M. Khalaf, Reda R. Gharieb, Dina A. Hassanin:
Automatic diagnosis of common carotid artery disease using different machine learning techniques. J. Ambient Intell. Humaniz. Comput. 14(1): 113-129 (2023) - 2022
- [j2]Mostafa Shokry, Ali Ismail Awad, Mahmoud Khaled Abd-Ellah, Ashraf A. M. Khalaf:
Systematic survey of advanced metering infrastructure security: Vulnerabilities, attacks, countermeasures, and future vision. Future Gener. Comput. Syst. 136: 358-377 (2022) - [c5]Mostafa Shokry, Ali Ismail Awad, Mahmoud Khaled Abd-Ellah, Ashraf A. M. Khalaf:
CORAS Model for Security Risk Assessment in Advanced Metering Infrastructure Systems. AISI 2022: 449-459
2010 – 2019
- 2019
- [c4]Mahmoud Khaled Abd-Ellah, Ashraf A. M. Khalaf, Ali Ismail Awad, Hesham F. A. Hamed:
TPUAR-Net: Two Parallel U-Net with Asymmetric Residual-Based Deep Convolutional Neural Network for Brain Tumor Segmentation. ICIAR (2) 2019: 106-116 - [c3]Mahmoud Khaled Abd-Ellah, Ali Ismail Awad, Hesham F. A. Hamed, Ashraf A. M. Khalaf:
Parallel Deep CNN Structure for Glioma Detection and Classification via Brain MRI Images. ICM 2019: 304-307 - 2018
- [j1]Mahmoud Khaled Abd-Ellah, Ali Ismail Awad, Ashraf A. M. Khalaf, Hesham F. A. Hamed:
Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks. EURASIP J. Image Video Process. 2018: 97 (2018) - 2016
- [c2]Mahmoud Khaled Abd-Ellah, Ali Ismail Awad, Ashraf A. M. Khalaf, Hesham F. A. Hamed:
Design and implementation of a computer-aided diagnosis system for brain tumor classification. ICM 2016: 73-76 - [c1]Mahmoud Khaled Abd-Ellah, Ali Ismail Awad, Ashraf A. M. Khalaf, Hesham F. A. Hamed:
Classification of Brain Tumor MRIs Using a Kernel Support Vector Machine. WIS 2016: 151-160
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last updated on 2024-08-04 19:09 CEST by the dblp team
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