Artificial intelligence in the IoT era: A review of edge AI hardware and software

T Sipola, J Alatalo, T Kokkonen… - 2022 31st Conference …, 2022 - ieeexplore.ieee.org
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 …

Decentralised learning in federated deployment environments: A system-level survey

P Bellavista, L Foschini, A Mora - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Decentralised learning is attracting more and more interest because it embodies the
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

P Fraga-Lamas, SI Lopes, TM Fernández-Caramés - Sensors, 2021 - mdpi.com
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 …

A multi-user cost-efficient crowd-assisted VR content delivery solution in 5G-and-beyond heterogeneous networks

L Zhong, X Chen, C Xu, Y Ma, M Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Recent trends in AI-based intelligent sensing

A Sharma, V Sharma, M Jaiswal, HC Wang… - Electronics, 2022 - mdpi.com
In recent years, intelligent sensing has gained significant attention because of its
autonomous decision-making ability to solve complex problems. Today, smart sensors …

Edge artificial intelligence for big data: a systematic review

A Hemmati, P Raoufi, AM Rahmani - Neural Computing and Applications, 2024 - Springer
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 …

The case for fpga-based edge computing

C Xu, S Jiang, G Luo, G Sun, N An… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Edge Computing has emerged as a new computing paradigm dedicated for mobile
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

M Lapegna, W Balzano, N Meyer, D Romano - Sensors, 2021 - mdpi.com
The synergy between Artificial Intelligence and the Edge Computing paradigm promises to
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

MI Khan, MA Jan, Y Muhammad, DT Do… - Neural Computing and …, 2021 - Springer
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 …

Deep reinforcement learning based resource management in UAV-assisted IoT networks

YY Munaye, RT Juang, HP Lin, GB Tarekegn, DB Lin - Applied Sciences, 2021 - mdpi.com
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 …