Mohamed Hassan Essai Ali

According to our database, Mohamed Hassan Essai Ali authored at least 10 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

An efficient deep neural network channel state estimator for OFDM wireless systems.

Hassan A. Hassan, Mohamed A. Mohamed, Mohamed N. Shaaban, Mohamed Hassan Essai Ali, Osama A. Omer

Wirel. Networks, April, 2024

2023

Modified state activation functions of deep learning-based SC-FDMA channel equalization system.

Mohamed A. Mohamed, Hassan A. Hassan, Mohamed H. Essai, Hamada Esmaiel, Ahmed S. Mubarak, Osama A. Omer

EURASIP J. Wirel. Commun. Netw., December, 2023

Automatic Modulation Classification: Convolutional Deep Learning Neural Networks Approaches.

Hany S. Hussein, Mohamed Hassan Essai Ali, Mohamed A. Ismeil, Mohamed N. Shaaban, Mona Lotfy Mohamed, Hany A. Atallah

IEEE Access, 2023

Developing Novel Robust Loss Functions-Based Classification Layers for DLLSTM Neural Networks.

Mohamad Abou Houran, Mohamed Hassan Essai Ali, Adel B. Abdel-Raman, Eman A. Badry, Alaaeldien Hassan, Hany A. Atallah

IEEE Access, 2023

2022

A promising Ka band leaky-wave antenna based on a periodic structure of non-identical irregularities.

Mohamed N. Shaaban, Mohamed Hassan Essai Ali, M. S. Yasseen, Aydar R. Nasybullin, Yuri E. Sedelnikov

EURASIP J. Wirel. Commun. Netw., 2022

Deep Learning Gated Recurrent Neural Network-Based Channel State Estimator for OFDM Wireless Communication Systems.

Mohamed Hassan Essai Ali, M. Lotfy Rabeh, Sherif Hekal, Abeer N. Abbas

IEEE Access, 2022

Developing Novel Activation Functions Based Deep Learning LSTM for Classification.

Mohamed Hassan Essai Ali, Adel B. Abdel-Raman, Eman A. Badry

IEEE Access, 2022

2021

Channel state information estimation for 5G wireless communication systems: recurrent neural networks approach.

Mohamed Hassan Essai Ali, Ibrahim B. M. Taha

PeerJ Comput. Sci., 2021

Deep learning-based pilot-assisted channel state estimator for OFDM systems.

Mohamed Hassan Essai Ali

IET Commun., 2021

2009

Robust Training of Artificial Feedforward Neural Networks.

Moumen T. El-Melegy, Mohamed H. Essai, Ali A. Amer

Proceedings of the Foundations of Computational Intelligence, 2009