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Mohamed Hassan Essai Ali

Mohamed H. Essai

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affiliation: Al-Azhar University, Electrical Engineering Department, Qena, Egypt

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2020 – today

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2023
[j8]
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  - journals/access/HouranAABHA23
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Mohamad Abou Houran, Mohamed Hassan Essai Ali, Adel B. Abdel-Raman, Eman A. Badry, Alaaeldien Hassan, Hany A. Atallah:
Developing Novel Robust Loss Functions-Based Classification Layers for DLLSTM Neural Networks. IEEE Access 11: 49863-49873 (2023)
[j7]
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Hany S. Hussein, Mohamed Hassan Essai Ali, Mohamed A. Ismeil, Mohamed N. Shaaban, Mona Lotfy Mohamed, Hany A. Atallah:
Automatic Modulation Classification: Convolutional Deep Learning Neural Networks Approaches. IEEE Access 11: 98695-98705 (2023)
[j6]
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  - journals/ejwcn/MohamedHEEMO23
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Mohamed A. Mohamed, Hassan A. Hassan, Mohamed H. Essai, Hamada Esmaiel, Ahmed S. Mubarak, Osama A. Omer:
Modified state activation functions of deep learning-based SC-FDMA channel equalization system. EURASIP J. Wirel. Commun. Netw. 2023(1): 115 (2023)
2022
[j5]
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Mohamed Hassan Essai Ali, M. Lotfy Rabeh, Sherif Hekal, Abeer N. Abbas:
Deep Learning Gated Recurrent Neural Network-Based Channel State Estimator for OFDM Wireless Communication Systems. IEEE Access 10: 69312-69322 (2022)
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Mohamed Hassan Essai Ali, Adel B. Abdel-Raman, Eman A. Badry:
Developing Novel Activation Functions Based Deep Learning LSTM for Classification. IEEE Access 10: 97259-97275 (2022)
[j3]
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  - journals/ejwcn/ShaabanAYNS22
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Mohamed N. Shaaban, Mohamed Hassan Essai Ali, M. S. Yasseen, Aydar R. Nasybullin, Yuri E. Sedelnikov:
A promising Ka band leaky-wave antenna based on a periodic structure of non-identical irregularities. EURASIP J. Wirel. Commun. Netw. 2022(1): 97 (2022)
2021
[j2]
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Mohamed Hassan Essai Ali:
Deep learning-based pilot-assisted channel state estimator for OFDM systems. IET Commun. 15(2): 257-264 (2021)
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Mohamed Hassan Essai Ali, Ibrahim B. M. Taha:
Channel state information estimation for 5G wireless communication systems: recurrent neural networks approach. PeerJ Comput. Sci. 7: e682 (2021)

2000 – 2009

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2009
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Moumen T. El-Melegy, Mohamed H. Essai, Ali A. Amer:
Robust Training of Artificial Feedforward Neural Networks. Foundations of Computational Intelligence (1) 2009: 217-242

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