Ghada Alsuhli

According to our database, Ghada Alsuhli authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-Optimized Agent for Load Balancing and Energy Efficiency: A Reinforcement Learning Framework With Hybrid Action Space.

Bishoy Salama Attia, Aamen Elgharably, Mariam M. N. Aboelwafa, Ghada Alsuhli, Karim Banawan, Karim G. Seddik

IEEE Open J. Commun. Soc., 2024

Hybrid Dynamic Pruning: A Pathway to Efficient Transformer Inference.

Ghadeer Jaradat, Mohammed F. Tolba, Ghada Alsuhli, Hani H. Saleh, Mahmoud Al-Qutayri, Thanos Stouraitis, Baker Mohammad

CoRR, 2024

2023

Mobility Load Management in Cellular Networks: A Deep Reinforcement Learning Approach.

Ghada Alsuhli, Karim Banawan, Kareem M. Attiah, Ayman Elezabi, Karim G. Seddik, Ayman Gaber, Mohamed Mahmoud Zaki, Yasser Gadallah

IEEE Trans. Mob. Comput., March, 2023

Number Systems for Deep Neural Network Architectures: A Survey.

Ghada Alsuhli, Vasileios Sakellariou, Hani H. Saleh, Mahmoud Al-Qutayri, Baker Mohammad, Thanos Stouraitis

CoRR, 2023

2022

A survey on the role of UAVs in the communication process: A technological perspective.

Ghada Alsuhli, Ahmed Fahim, Yasser Gadallah

Comput. Commun., 2022

Approximate Logarithmic Multiplier For Convolutional Neural Network Inference With Computational Reuse.

Biyanu Zerom, Mohamed F. Tolba, Huruy Tekle Tefai, Hani H. Saleh, Mahmoud Al-Qutayri, Thanos Stouraitis, Baker Mohammad, Ghada Alsuhli

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Self-Optimization of Cellular Networks Using Deep Reinforcement Learning with Hybrid Action Space.

Mariam M. N. Aboelwafa, Ghada Alsuhli, Karim Banawan, Karim G. Seddik

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021

Optimized Power and Cell Individual Offset for Cellular Load Balancing via Reinforcement Learning.

Ghada Alsuhli, Karim Banawan, Karim G. Seddik, Ayman Elezabi

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Deep Reinforcement Learning-based CIO and Energy Control for LTE Mobility Load Balancing.

Ghada Alsuhli, Hassan A. Ismail, Kareem A. Alansary, Mahmoud Rumman, Mostafa Mohamed, Karim G. Seddik

Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021