Edge AI-based Respiratory Disease Recognition from Exhaled Breath Signatures-Reference-Cited by-同舟云学术

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Edge AI-based Respiratory Disease Recognition from Exhaled Breath Signatures

Published:2021-11-16 Issue: Volume: Page:
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Container-title:2021 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)
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Author:

Ooko Samson Otieno,Mukanyiligira Didacienne,Munyampundu Jean Pierre,Nsenga Jimmy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9634103/9634090/09634140.pdf?arnumber=9634140

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Noninvasive Diabetes Detection through Human Breath Using TinyML-Powered E-Nose;Sensors;2024-02-17

2. A Wearable Device for Respiratory Diseases Monitoring in Crowded Spaces. Case Study of COVID-19;Proceedings of Eighth International Congress on Information and Communication Technology;2023-09-01

3. Edge AI-based early anomaly detection of LNG Carrier Main Engine systems;OCEANS 2023 - Limerick;2023-06-05

4. Disclosing Edge Intelligence: A Systematic Meta-Survey;Big Data and Cognitive Computing;2023-03-02

5. TinyML-Based Classification in an ECG Monitoring Embedded System;Computers, Materials & Continua;2023

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