Federated Learning for Air Quality Index Prediction using UAV Swarm Networks-Reference-Cited by-同舟云学术

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Federated Learning for Air Quality Index Prediction using UAV Swarm Networks

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Global Communications Conference (GLOBECOM)
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Author:

Chhikara Prateek¹,Tekchandani Rajkumar¹,Kumar Neeraj¹,Tanwar Sudeep²,Rodrigues Joel J. P. C.³

Affiliation:

1. Thapar Institute of Engineering & Technology (Deemed to be University),Patiala,Punjab,India

2. Institute of Technology, Nirma University,Department of Computer Science and Engineering,Ahmedabad,Gujarat,India

3. Federal University of Piauí (UFPI),Teresina,PI,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685991.pdf?arnumber=9685991

Reference29 articles.

1. Video based air quality measurement with dual-channel 3d convolutional network;wang;IEEE Internet of Things Journal,2021

2. Aq360: Uav-aided air quality monitoring by 360-degree aerial panoramic images in urban areas;gao;IEEE Internet of Things Journal,2020

3. Unmanned Aerial Vehicle platform based on low-power components and environmental sensors: technical description and data analysis on real-time monitoring of air pollutants

4. Autonomous monitoring, analysis, and countering of air pollution using environmental drones

5. A Review on Air Quality Measurement Using an Unmanned Aerial Vehicle

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2. State-of-the-Art and Future Research Challenges in UAV Swarms;IEEE Internet of Things Journal;2024-06-01

3. Multi-Unmanned Aerial Vehicle Agricultural Inspection System Based on Federated Learning;2024 9th International Conference on Computer and Communication Systems (ICCCS);2024-04-19

4. Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment;Sustainability;2023-09-20

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