Trends in IoT based solutions for health care: Moving AI to the edge-Reference-Cited by-同舟云学术

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Trends in IoT based solutions for health care: Moving AI to the edge

Published:2020-07 Issue: Volume:135 Page:346-353
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Greco Luca^ORCID,Percannella Gennaro^ORCID,Ritrovato Pierluigi,Tortorella Francesco^ORCID,Vento Mario

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference56 articles.

1. Edge computing for smart health: context-aware approaches, opportunities, and challenges;Abdellatif;IEEE Netw.,2019

2. Dedicated real-time monitoring system for health care using ZigBee;Alwan;Healthc. Technol. Lett,2017

3. Smart health care: an edge-side computing perspective;Akmandor;IEEE Consum. Electron. Mag.,2017

4. HiCH: hierarchical fog-assisted computing architecture for healthcare IoT;Azimi;ACM Trans. Embed. Comput. Syst. (TECS),2017

5. Empowering healthcare IoT systems with hierarchical edge-based deep learning;Azimi,2018

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