In this paper, we proposed a novel approach to evaluate the overrun risk using large scale QAR data. The main process of our approach is to find out the most ...
An innovative deep sequence-to-sequence model which utilizes QAR (Quick Access Recorder) data for accurate long landing prediction and the GBDT (gradient ...
May 28, 2024 · ... In [13], the authors use regression and classification techniques to assess runway overrun risks, based on QAR data. Another QAR data-based ...
Missing: Scale | Show results with:Scale
May 20, 2024 · Basically, FRAM-FDM is the coupling of a traditional FRAM with flight data monitoring (FDM) techniques, used here to quantify the variabilities ...
Missing: Scale | Show results with:Scale
Aug 30, 2023 · In this paper, we propose a new dynamic runway overrun risk assessment model based on QAR data. We first consider the noise of aircraft trajectory data.
In this paper, we propose a new dynamic runway overrun risk assessment model based on QAR data. We first consider the noise of aircraft trajectory data in the ...
QAR Data Imputation Using Generative Adversarial Network with ...
www.sciopen.com › BDMA.2023.9020001
H. Lv, J. Yu, and T. Zhu, A novel method of overrun risk measurement and assessment using large scale QAR data, in Proc. 2018 IEEE Fourth Int. Conf. Big Data ...
Feb 28, 2023 · QAR data has become an important basis for flight quality monitoring, engine status detection, aircraft system failure diagnosis, 3D animation route design and ...
A novel method of overrun risk measurement and assessment using large scale QAR Data. 2018, Proceedings - IEEE 4th International Conference on Big Data ...
Second, QAR data are used to diagnose and analyze the causes of accidents such as over-limit, for example, W. Xiangzhang [3] et al. combined hard landing cases ...