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Artificial intelligence in the IoT era: A review of edge AI hardware and software
The modern trend of moving artificial intelligence computation near to the origin of data
sources has increased the demand for new hardware and software suitable for such …
sources has increased the demand for new hardware and software suitable for such …
Decentralised learning in federated deployment environments: A system-level survey
Decentralised learning is attracting more and more interest because it embodies the
principles of data minimisation and focused data collection, while favouring the transparency …
principles of data minimisation and focused data collection, while favouring the transparency …
[HTML][HTML] Green IoT and edge AI as key technological enablers for a sustainable digital transition towards a smart circular economy: An industry 5.0 use case
Internet of Things (IoT) can help to pave the way to the circular economy and to a more
sustainable world by enabling the digitalization of many operations and processes, such as …
sustainable world by enabling the digitalization of many operations and processes, such as …
A multi-user cost-efficient crowd-assisted VR content delivery solution in 5G-and-beyond heterogeneous networks
The latest evolution of wireless communications enables users to access rich Virtual Reality
(VR) services via the Internet, including while on the move. However, providing a premium …
(VR) services via the Internet, including while on the move. However, providing a premium …
[HTML][HTML] Recent trends in AI-based intelligent sensing
In recent years, intelligent sensing has gained significant attention because of its
autonomous decision-making ability to solve complex problems. Today, smart sensors …
autonomous decision-making ability to solve complex problems. Today, smart sensors …
Edge artificial intelligence for big data: a systematic review
Edge computing, artificial intelligence (AI), and machine learning (ML) concepts have
become increasingly prevalent in Internet of Things (IoT) applications. As the number of IoT …
become increasingly prevalent in Internet of Things (IoT) applications. As the number of IoT …
The case for fpga-based edge computing
Edge Computing has emerged as a new computing paradigm dedicated for mobile
performance enhancement and energy efficiency purposes. Specifically, it benefits today's …
performance enhancement and energy efficiency purposes. Specifically, it benefits today's …
[HTML][HTML] Clustering algorithms on low-power and high-performance devices for edge computing environments
The synergy between Artificial Intelligence and the Edge Computing paradigm promises to
transfer decision-making processes to the periphery of sensor networks without the …
transfer decision-making processes to the periphery of sensor networks without the …
Tracking vital signs of a patient using channel state information and machine learning for a smart healthcare system
In a smart healthcare system, the sensor-embedded wearable devices have the ability to
track various vital signs of a patient. However, such devices need to be worn by the patients …
track various vital signs of a patient. However, such devices need to be worn by the patients …
Deep reinforcement learning based resource management in UAV-assisted IoT networks
The resource management in wireless networks with massive Internet of Things (IoT) users
is one of the most crucial issues for the advancement of fifth-generation networks. The main …
is one of the most crucial issues for the advancement of fifth-generation networks. The main …