Towards Green Edge Intelligence

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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.
Original languageEnglish
Title of host publicationIoT 2023 - Proceedings of the 13th International Conference on the Internet of Things
PublisherACM
Pages197-199
Number of pages3
ISBN (Electronic)979-8-4007-0854-1
DOIs
Publication statusPublished - 22 Mar 2024
MoE publication typeA4 Conference publication
EventInternational Conference on the Internet of Things - Nagoya, Japan
Duration: 7 Nov 202310 Nov 2023
Conference number: 13

Conference

ConferenceInternational Conference on the Internet of Things
Abbreviated titleIoT
Country/TerritoryJapan
CityNagoya
Period07/11/202310/11/2023

Keywords

  • Cloud computing
  • E-Health
  • Edge intelligence
  • Internet of Things
  • Smart Cities
  • Wireless power transfer

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