Flight Technology Assessment Based on Machine Learning and SMOTE Algorithm-Reference-Cited by-同舟云学术

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Flight Technology Assessment Based on Machine Learning and SMOTE Algorithm

Published:2023-12-15 Issue: Volume: Page:52-57
ISSN:
Container-title:2023 5th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)
language:
Short-container-title:

Author:

Lei Anran¹,Zhou Shicheng²,Cao Xinyi³,Ma Wenya⁴

Affiliation:

1. Hubei Normal University,School of Electrical Engineering and Automation,Huangshi,China

2. Hubei Normal University,School of Computer and Information Engineering,Huangshi,China

3. Hubei Normal University,School of Mathematics and Statistics,Huangshi,China

4. Hubei Normal University,College of Foreign Studies,Huangshi,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10481804/10481677/10482219.pdf?arnumber=10482219

Reference16 articles.

1. Research on flight quality during landing phase based on time series analysis method [D];Miaoying;China Civil Aviation Flight University,2023

2. Study on selection, inspection, and evaluation method for flight students oriented towards competence [D];Dan;China Civil Aviation Flight University,2023

3. Research on monitoring and evaluation model of general aviation flight training quality [D];Shuai;China Civil Aviation Flight University,2022

4. Research on initial training quality assessment system for commercial airline pilots in China [D];Ke;China Civil Aviation Flight University,2020

5. Research on method for assessing pilot capabilities based on task scenarios [D];Yiwei;China Civil Aviation University

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