Towards Green Edge Intelligence

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A4 Artikkeli konferenssijulkaisussa
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Authors

Date

2024-03-22

Department

Department of Information and Communications Engineering

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Language

en

Pages

3

Series

IoT 2023 - Proceedings of the 13th International Conference on the Internet of Things, pp. 197-199

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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DOI

10.1145/3627050.3630737

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

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-202403272895

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