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Q. Ali

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Open access Oct 2026

Machine learning-driven SDN for reliable emergency response in industrial IoT networks

Industrial Internet of Things (IIoT) applications operating in safety-critical environments—such as chemical plants, oil refineries, and disaster response systems—demand ultra-low latency, deterministic communication, and absolute message reliability, particularly during emergency scenarios. Traditional Software-Define...

Q. Ali, Sohaib R. Awad · 0 citations
Open access Aug 2026

A user-space virtualization lab for postgraduate networking education and research in WMN, MANET, and WSN

A user-space networking laboratory framework that enables protocol implementation, modification, and evaluation on real hardware without requiring kernel modifications is presented, demonstrating the suitability of the framework for postgraduate laboratory experimentation and rapid protocol prototyping.

Ahmed A Al-Healy, Q. Ali · 0 citations
Open access 2026

A CONCEPTUAL STUDY ON ACTIVE NOISE CANCELLATION: FROM ADAPTIVE ALGORITHMS TO DEEP LEARNING APPROACHES

This conceptual study provides a thorough explanation of ANC technology spanning more than 90 years of development, from Paul Lueg's early 1936 patent to the most recent deep learning methods, and shows that deep learning approaches are the ANC technology of the future.

M. Qassab, Q. Ali · 0 citations

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