A Survey of Machine Learning Algorithms and Techniques for Air Mobility Under Emergency Situations-Reference-Cited by-同舟云学术

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A Survey of Machine Learning Algorithms and Techniques for Air Mobility Under Emergency Situations

Published:2022-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)
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Author:

Zhou Yujing¹,Liu Dahai²,Song Houbing³

Affiliation:

1. Embry-Riddle Aeronautical University,Department of Mathematics,Daytona Beach,FL,USA,32114

2. Embry-Riddle Aeronautical University,College of Aviation,Daytona Beach,FL,USA,32114

3. Embry-Riddle Aeronautical University,Department of EECS,Daytona Beach,FL,USA,32114

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9903085/9903087/09903250.pdf?arnumber=9903250

Reference39 articles.

1. Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

2. Internet of Things and Big Data Analytics for Smart and Connected Communities

3. Aviation Cybersecurity: Foundations, principles, and applications;song,2022

4. Class-Incremental Learning for Wireless Device Identification in IoT

5. Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey

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