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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Muhamad Azhar Abdilatef Alobaidy

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2 papers indexed here

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Review Open access Aug 2026

Types and Challenges of Resource Allocation for Reinforcement Learning in Wireless Networks: A Review

The principles of RL are presented and why it must be adopted in this sphere and the following critical issues are analyzed: dynamic channel conditions, interference management, scalability, computational complexity, and strict QoS and latency requirements.

Omar Khalid M. Ali, Muhamad Azhar Abdilatef Alobaidy, Z. Yosif et al. · 0 citations
Open access Aug 2026

Hybrid quantum-classical neural networks for brain computed tomography scan diagnosis

A hybrid quantum-classical convolutional neural network (QCNN) is presented by combining quantum information processing with classical deep learning techniques for improved feature extraction and classification accuracy, indicating that combining quantum computing with deep learning architectures could improve classifi...

Bilal R. Altamer, Muhamad Azhar Abdilatef Alobaidy, Aws Hazim Saber Anaz et al. · 0 citations

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