‪Muhammad Asim Ejaz‬ - ‪Google Наука‬

Muhammad Asim Ejaz

Muhammad Asim Ejaz

Dalian University of Technology

Потвърден имейл адрес: mail.dlut.edu.cn

Network Slicing Machine Learning 5G AI Edge Computing


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Dynamic and efficient resource allocation for 5G end‐to‐end network slicing: A multi‐agent deep reinforcement learning approach M Asim Ejaz, G Wu, T Iqbal International Journal of Communication Systems 37 (17), e5916, 2024	1	2024
Utility-Driven End-to-End Network Slicing for Diverse IoT Users in MEC: A Multi-Agent Deep Reinforcement Learning Approach MA Ejaz, G Wu, A Ahmed, S Iftikhar, S Bawazeer Sensors 24 (17), 5558, 2024		2024
Deep Reinforcement Learning Approach for Enhancing Profitability in Mobile Edge Computing MA Ejaz, G Wu, A Sultan, T Iqbal 2024 27th International Conference on Computer Supported Cooperative Work in …, 2024		2024
Vulbenn: Code Vulnerability Detection with Structural and Semantic Embeddings Using Tree-Sitter, Bert, & Cnn MB Mahmood, G Wu, T Iqbal, MA Ejaz, L Khan Bert, & Cnn, 0

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