Nadra Guizani

TL;DR: A B5G framework is proposed that utilizes the 5G network's low-latency, high-bandwidth functionality to detect COVID-19 using chest X-ray or CT scan images, and to develop a mass surveillance system to monitor social distancing, mask wearing, and body temperature.

TL;DR: A B5G framework that supports COVID-19 diagnosis, leveraging the low-latency, high-bandwidth features of the 5G network at the edge and adding semantics to existing DL models so that human domain experts on CO VID-19 can gain insight and semantic visualization of the key decision-making activities that take place within the deep learning ecosystem.

TL;DR: The supply chain’s security-critical application areas are discussed and a detailed survey of the security issues in the existing supply chain architecture is presented.

TL;DR: This article proposes the Living with I-Fabric system, which represents smart living powered by intelligent fabric and deep analytics, and is capable of solving problems that are beyond the scope of existing fabrics and further improve the user's experience.

TL;DR: The FTM-IoMT provides TM for the users of eHealth systems using IoMT infrastructures, an intelligent mechanism to recognize Sybil or untrustworthy nodes in the system and provides a double evaluation check based on fuzzy logic processing and fuzzy filter.