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Nada M. Elshennawy

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2024
[j7]
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  - journals/hisas/SaifSE24
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Dina Saif, Amany M. Sarhan, Nada M. Elshennawy:
Deep-kidney: an effective deep learning framework for chronic kidney disease prediction. Health Inf. Sci. Syst. 12(1): 3 (2024)
[j6]
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  - journals/ijcisys/SarhanSE24
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Amany M. Sarhan, Dina Saif, Nada M. Elshennawy:
A Manta-Ray Hill Climbing Vision Transformer Model for Predicting Ischemic Stroke Outcome. Int. J. Comput. Intell. Syst. 17(1): 85 (2024)
2023
[j5]
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  - journals/eswa/AllahSE23
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Ahmed M. Gab Allah, Amany M. Sarhan, Nada M. Elshennawy:
Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information. Expert Syst. Appl. 213(Part): 118833 (2023)
2022
[j4]
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  - journals/nca/ShalabyES22
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Eman Shalaby, Nada M. Elshennawy, Amany M. Sarhan:
Utilizing deep learning models in CSI-based human activity recognition. Neural Comput. Appl. 34(8): 5993-6010 (2022)
2021
[j3]
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  - journals/cbm/IbrahimES21
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Dina M. Ibrahim, Nada M. Elshennawy, Amany M. Sarhan:
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases. Comput. Biol. Medicine 132: 104348 (2021)
[j2]
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  - journals/jrtip/ElrefaeySE21
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Amany Elrefaey, Amany M. Sarhan, Nada M. Elshennawy:
Parallel approaches to improve the speed of chaotic-maps-based encryption using GPU. J. Real Time Image Process. 18(6): 1897-1906 (2021)
2020
[j1]
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Nada M. Elshennawy:
Modified Proportional Fair Scheduling Algorithm for Heterogeneous LTE-A Networks. Int. J. Interact. Mob. Technol. 14(10): 22-34 (2020)

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