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ORCIDMohamed A. El-Rashidy
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Journal Articles
- 2024
[j10]Nesma Abd El-Mawla
, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy:
A Novel Federated Learning Framework for Sustainable and Efficient Breast Cancer Classification System (FL-L2CNN-BCDet). IEEE Access 12: 163110-163130 (2024)- [j9]Mohamed A. El-Rashidy, Ramy G. Mohamed, Nawal A. El-Fishawy, Marwa A. Shouman:
An effective text plagiarism detection system based on feature selection and SVM techniques. Multim. Tools Appl. 83(1): 2609-2646 (2024) - [j8]Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy:
A novel deep learning approach (Bi-xBcNet-96) considering green AI to discover breast cancer using mammography images. Neural Comput. Appl. 36(21): 12701-12723 (2024) - 2023
- [j7]Nermeen Gamal Rezk, Ezz El-Din Hemdan, Abdel-Fattah Attia, Ayman El-Sayed, Mohamed A. El-Rashidy:
An efficient IoT based framework for detecting rice disease in smart farming system. Multim. Tools Appl. 82(29): 45259-45292 (2023) - [j6]Mohamed A. El-Rashidy, Ahmed Farouk, Nawal A. El-Fishawy, Heba K. Aslan, Nabila A. Khodeir:
New weighted BERT features and multi-CNN models to enhance the performance of MOOC posts classification. Neural Comput. Appl. 35(24): 18019-18033 (2023) - 2022
- [j5]Nermeen Gamal Rezk, Abdel-Fattah Attia, Mohamed A. El-Rashidy, Ayman El-Sayed, Ezz El-Din Hemdan:
An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture. Int. J. Comput. Intell. Syst. 15(1): 65 (2022) - [j4]Mohamed A. El-Rashidy:
An efficient and portable solar cell defect detection system. Neural Comput. Appl. 34(21): 18497-18509 (2022) - [j3]Mohamed A. El-Rashidy, Ramy G. Mohamed, Nawal A. El-Fishawy, Marwa A. Shouman:
Reliable plagiarism detection system based on deep learning approaches. Neural Comput. Appl. 34(21): 18837-18858 (2022) - 2021
- [j2]Nermeen Gamal Rezk, Ezz El-Din Hemdan, Abdel-Fattah Attia, Ayman El-Sayed, Mohamed A. El-Rashidy:
An efficient IoT based smart farming system using machine learning algorithms. Multim. Tools Appl. 80(1): 773-797 (2021) - [j1]Mohamed A. El-Rashidy:
A novel system for fast and accurate decisions of gold-stock markets in the short-term prediction. Neural Comput. Appl. 33(1): 393-407 (2021)
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