Ghada Alsuhli

Orcid: 0000-0001-7251-747X

According to our database1, Ghada Alsuhli authored at least 16 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2025
Bi-SamplerZ: A Hardware-Efficient Gaussian Sampler Architecture for Quantum-Resistant Falcon Signatures.
CoRR, May, 2025

A Survey and Comparative Analysis of Number Systems for Deep Neural Networks.
Proc. IEEE, February, 2025

Area and Power Efficient FFT/IFFT Processor for FALCON Post-Quantum Cryptography.
IEEE Trans. Emerg. Top. Comput., 2025

2024
Self-Optimized Agent for Load Balancing and Energy Efficiency: A Reinforcement Learning Framework With Hybrid Action Space.
IEEE Open J. Commun. Soc., 2024

Hybrid Dynamic Pruning: A Pathway to Efficient Transformer Inference.
CoRR, 2024

2023
Optimizing Environment-aware VANET Clustering using Machine Learning.
Int. J. Intell. Transp. Syst. Res., December, 2023

Mobility Load Management in Cellular Networks: A Deep Reinforcement Learning Approach.
IEEE Trans. Mob. Comput., March, 2023

Number Systems for Deep Neural Network Architectures: A Survey.
CoRR, 2023

2022
A survey on the role of UAVs in the communication process: A technological perspective.
Comput. Commun., 2022

Approximate Logarithmic Multiplier For Convolutional Neural Network Inference With Computational Reuse.
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.
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.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Deep Reinforcement Learning-based CIO and Energy Control for LTE Mobility Load Balancing.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

2019
Double-Head Clustering for Resilient VANETs.
Wirel. Commun. Mob. Comput., 2019

Enhanced Urban Clustering in VANETs Using Online Machine Learning.
Proceedings of the IEEE International Conference of Vehicular Electronics and Safety, 2019

An Evolutionary Approach for Optimized VANET Clustering.
Proceedings of the 31st International Conference on Microelectronics, 2019


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