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Edge AI for Industrial IoT Applications

Foukalas, F; Tziouvaras, A; (2021) Edge AI for Industrial IoT Applications. IEEE Industrial Electronics Magazine 10.1109/MIE.2020.3026837. (In press). Green open access

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Type: Article
Title: Edge AI for Industrial IoT Applications
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/MIE.2020.3026837
Publisher version: https://doi.org/10.1109/MIE.2020.3026837
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Artificial intelligence, Industrial Internet of Things, Training, Data models, Computational modeling, Edge computing, Servers
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10122968
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