Machine learning for predicting the impact of construction activities on air traffic operations during airport expansion projects-Reference-Cited by-同舟云学术

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Machine learning for predicting the impact of construction activities on air traffic operations during airport expansion projects

Published:2024-02 Issue: Volume:158 Page:105189
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Al-Ghzawi Mamdouh^ORCID,El-Rayes Khaled

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference49 articles.

1. Number of U.S. airports;Bureau of Transportation Statistics,2021

2. Air traffic by the numbers;Federal Aviation Administration,2021

3. FAA national plan of integrated airport systems (NPIAS) 2021–2025;Federal Aviation Administration,2020

4. Building the runway to economic growth;Airport Council International – North America (ACI-NA),2021

5. 2021 Infrastructure report card;American Society of Civil Engineers (ASCE),2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Framework for the Characterization of Aviation Construction Projects: The Case of UAE;Buildings;2024-08-01

2. Machine learning and multi-objective optimization methodology for planning construction phases of airport expansion projects;Journal of Air Transport Management;2024-03

3. Multi-Dimensional Coupled Evaluation and Prediction Of Solar Energy Utilization Indicators on Building Surfaces;2024

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