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Amr Abo-eleneen

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2020 – today

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2024
[c3]
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  - conf/ccnc/AboeleneenAEM24
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Amr Abo-eleneen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed:
DRL-APNS: A Deep Reinforcement Learning-Powered Framework for Accurate Predictive Network Slicing Allocation. CCNC 2024: 71-76
2023
[j2]
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Amr Abo-eleneen, Ahammed Palliyali, Cagatay Catal:
The role of Reinforcement Learning in software testing. Inf. Softw. Technol. 164: 107325 (2023)
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Alaa Awad Abdellatif, Amr Abo-eleneen, Amr Mohamed, Aiman Erbad, Nikhil V. Navkar, Mohsen Guizani:
Intelligent-Slicing: An AI-Assisted Network Slicing Framework for 5G-and-Beyond Networks. IEEE Trans. Netw. Serv. Manag. 20(2): 1024-1039 (2023)
2022
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Amr Abo-eleneen, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad:
RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT. WTS 2022: 1-6
2021
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Amr Abo-eleneen, Amr Mohamed:
MMRL: A Multi-Modal Reinforcement Learning Technique for Energy-efficient Medical IoT Systems. IWCMC 2021: 2026-2031

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