利用可解释 TabNet 方法和多普勒激光雷达数据评估机场跑道附近的风切变严重程度

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-01-10 DOI:10.1080/08839514.2024.2302227

Afaq Khattak, Jianping Zhang, Pak-Wai Chan, Feng Chen

引用次数: 0

摘要

机场跑道附近的严重风切变事件会带来严重的安全风险，是民航领域日益关注的问题。识别严重风切变风险因素可提高航空安全。Al...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data

Severe wind shear events near airport runways pose serious safety risks and are a growing concern in civil aviation. Identification of severe wind shear risk factors may enhance aviation safety. Al...

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.