ETAUS: An Edge and Trustworthy AI UAV System with Self-Adaptivity for Air Quality Monitoring-Reference-Cited by-同舟云学术

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ETAUS: An Edge and Trustworthy AI UAV System with Self-Adaptivity for Air Quality Monitoring

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Huang Chun-Hsian¹,Chen Wen-Tung¹,Chang Yi-Chun¹,Wu Kuan-Ting¹,Wang Ren-Hong¹

Affiliation:

1. National Taitung University,Department of Computer Science and Information Engineering,Taitung,Taiwan,950

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342087.pdf?arnumber=10342087

Reference21 articles.

1. Adverse health effects associated with household air pollution: a systematic review, meta-analysis, and burden estimation study

2. Air quality index (AQI) basics;Gadekar;Intl J. Research Publication and Reviews,2022

3. Real-Time Profiling of Fine-Grained Air Quality Index Distribution Using UAV Sensing

4. Inferring Fine-Grained PM2.5 with Bayesian Based Kernel Method for Crowdsourcing System

5. Crowdsensing Air Quality with Camera-Enabled Mobile Devices

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1. Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities;Applied Sciences;2024-07-09

2. Optimizing the Trajectory of Agricultural Robots in Greenhouse Climatic Sensing with Deep Reinforcement Learning;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15

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