Towards Green Edge Intelligence

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openAccess
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
Date
2024-03-22
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Mcode
Degree programme
Language
en
Pages
3
Series
Abstract
This study presents our ongoing activities, along with a demonstration that showcases the integration of these endeavours into a real-world application. We demonstrate the integration of IoT devices with energy harvesting systems, as well as the incorporation of deep learning techniques into IoT devices. Finally, we consider the utilization of radio frequency (RF) technology for gesture detection and classification, based on deep learning algorithms.
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Keywords
Cloud computing, E-Health, Edge intelligence, Internet of Things, Smart Cities, Wireless power transfer
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Citation
Ben Cheikh, S & Sigg, S 2024, Towards Green Edge Intelligence . in IoT 2023 - Proceedings of the 13th International Conference on the Internet of Things . ACM, pp. 197-199, International Conference on the Internet of Things, Nagoya, Japan, 07/11/2023 . https://doi.org/10.1145/3627050.3630737