Ground Handling Process Optimization Model Linked to Flight Delay Prediction Results-Reference-Cited by-同舟云学术

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Ground Handling Process Optimization Model Linked to Flight Delay Prediction Results

Published:2024 Issue: Volume:12 Page:114838-114857
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xu Zhen-Teng¹^ORCID,Li Yan-Jun¹^ORCID,Zuo Hong-Fu¹,Xu Teng-Zhou²,Wang Qi³,Yu Wang-Wang⁴,Yan Hong-Sheng²^ORCID,Liu Bing⁵,Chen Tao²,Zhou Mao-Hui¹

Affiliation:

1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Jiangning, Nanjing, China

2. School of Aeronautic Engineering, Nanjing Vocational University of Industry Technology, Qixia, Nanjing, China

3. Shanghai Airport (Group) Company Ltd., Shanghai, China

4. Aeronautic Intelligent Manufacturing and Digital Health Management Technology Engineering Research Center of Jiangsu Province, Qixia, Nanjing, China

5. Department of Public Foundational Courses, Nanjing Vocational University of Industry Technology, Qixia, Nanjing, China

Funder

Ministry of Science and Technology, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10636229.pdf?arnumber=10636229

Reference34 articles.

1. A Delay Prediction Method for the Whole Process of Transit Flight

2. Flight delay prediction model based on deep SE-Dense Net;Wu;J. Electron. Inf. Technol.,2019

3. Machine Learning Approach for Flight Departure Delay Prediction and Analysis

4. A Methodology for Predicting Aggregate Flight Departure Delays in Airports Based on Supervised Learning

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