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ORCIDNour Eldeen Mahmoud Khalifa
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2020 – today
- 2024
[j8]Nour Eldeen Mahmoud Khalifa
, Florentin Smarandache, Gunasekaran Manogaran, Mohamed Loey:
A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset. Cogn. Comput. 16(4): 1602-1611 (2024)- 2023
- [j7]Nour Eldeen Mahmoud Khalifa, Ahmed A. Mawgoud, Amr Abu-Talleb, Mohamed Hamed N. Taha, Yudong Zhang:
A COVID-19 Infection Prediction Model in Egypt Based on Deep Learning Using Population Mobility Reports. Int. J. Comput. Intell. Syst. 16(1): 96 (2023) - [c8]Ahmed Rabie Fayed, Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Amira Kotb:
Optimization of Task Scheduling in Cloud Computing Using the RAO-3 Algorithm. AICV 2023: 508-523 - 2022
- [j6]Nour Eldeen Mahmoud Khalifa, Mohamed Loey, Seyedali Mirjalili:
A comprehensive survey of recent trends in deep learning for digital images augmentation. Artif. Intell. Rev. 55(3): 2351-2377 (2022) - [j5]Nour Eldeen Mahmoud Khalifa, Gunasekaran Manogaran, Mohamed Hamed N. Taha, Mohamed Loey:
A deep learning semantic segmentation architecture for COVID-19 lesions discovery in limited chest CT datasets. Expert Syst. J. Knowl. Eng. 39(6) (2022) - [c7]Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien, Sally M. Elghamrawy:
Detection of Coronavirus (COVID-19) Associated Pneumonia Based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model Using Chest X-ray Dataset. AISI 2022: 234-247 - [c6]Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Ripon K. Chakrabortty, Mohamed Loey:
COVID-19 Chest X-rays Classification Through the Fusion of Deep Transfer Learning and Machine Learning Methods. ICHSA 2022: 1-11 - 2021
- [p3]Atrab A. Abd El-aziz, Nour Eldeen Mahmoud Khalifa, Ashraf Darwish, Aboul Ella Hassanien:
The Role of Emerging Technologies for Combating COVID-19 Pandemic. Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic 2021: 21-41 - [p2]Khaled Ahmed, Sara Abdelghafar, Aya Salama, Nour Eldeen Mahmoud Khalifa, Ashraf Darwish, Aboul Ella Hassanien:
Tracking of COVID-19 Geographical Infections on Real-Time Tweets. Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic 2021: 297-310 - 2020
- [j4]Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Dalia Ezzat, Adam Slowik, Aboul Ella Hassanien:
Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep Learning Approach. IEEE Access 8: 22874-22883 (2020) - [j3]Mohamed Loey Ramadan AbdElNabi, Mohammed Wajeeh Jasim, Hazem M. El-Bakry, Mohamed Hamed N. Taha, Nour Eldeen Mahmoud Khalifa:
Breast and Colon Cancer Classification from Gene Expression Profiles Using Data Mining Techniques. Symmetry 12(3): 408 (2020) - [j2]Mohamed Loey, Florentin Smarandache, Nour Eldeen Mahmoud Khalifa:
Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning. Symmetry 12(4): 651 (2020) - [c5]Reham Gharbia, Nour Eldeen Mahmoud Khalifa, Aboul Ella Hassanien:
Land Cover Classification Using Deep Convolutional Neural Networks. ISDA 2020: 911-920 - [i3]Ahmed A. Mawgoud, Mohamed Hamed N. Taha, Nour Eldeen Mahmoud Khalifa:
QoS Provision for Controlling Energy Consumption in Ad-hoc Wireless Sensor Networks. CoRR abs/2001.02761 (2020) - [i2]Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien, Sally M. Elghamrawy:
Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset. CoRR abs/2004.01184 (2020)
2010 – 2019
- 2019
- [j1]Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien, Ahmed Abdelmonem Hemedan:
Deep bacteria: robust deep learning data augmentation design for limited bacterial colony dataset. Int. J. Reason. based Intell. Syst. 11(3): 256-264 (2019) - [c4]Ahmed A. Mawgoud, Mohamed Hamed N. Taha, Nour Eldeen Mahmoud Khalifa, Mohamed Loey:
Cyber Security Risks in MENA Region: Threats, Challenges and Countermeasures. AISI 2019: 912-921 - [c3]Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Sarah Hamed N. Taha, Aboul Ella Hassanien:
Statistical Insights and Association Mining for Terrorist Attacks in Egypt. AMLTA 2019: 291-300 - [p1]Doaa Mohey El-Din, Mohamed Hamed N. Taha, Nour Eldeen Mahmoud Khalifa:
Towards Objective-Dependent Performance Analysis on Online Sentiment Review. Machine Learning Paradigms 2019: 189-210 - 2018
- [c2]Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien:
Aquarium Family Fish Species Identification System Using Deep Neural Networks. AISI 2018: 347-356 - [c1]Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien:
Automatic Counting and Visual Multi-tracking System for Human Sperm in Microscopic Video Frames. AISI 2018: 525-531 - 2017
- [i1]Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien, I. M. Selim:
Deep Galaxy: Classification of Galaxies based on Deep Convolutional Neural Networks. CoRR abs/1709.02245 (2017)
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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