Real-time risk assessment of aircraft landing based on finite element-virtual prototype-machine learning co-simulation on wet runways

Author:

Zhu Xingyi,Wu Yanan,Yang Yang,Pang Yafeng,Ling Hongwei,Zhang Dawei

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference45 articles.

1. Administration USFA. ICAO/ACI Symposium on Implementation of the New Global Reporting Format for Runway Surface Condition . 2019: 13

2. Aircraft Flight Manual (AFM).AC 91-ROP[EB/OL]. https://skybrary.aero/sites/default/files/bookshelf/922.pdf.

3. Data classification using Support vector Machine (SVM), a simplified approach;Amarappa;Int. J. Electron. Comput. Sci. Eng,2014

4. Autonomous driving architectures: insights of machine learning and deep learning algorithms;Bachute;Mach. Learn. Appl.,2021

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