Author

Tianjing Liu

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Review Open access Aug 2026

Flight Data-Driven LSTM-Family Models for Resource-Aware Edge Deployment in Aerial Systems: A Review and Methodological Evaluation

Flight data-driven modeling has become an important approach for trajectory prediction, anomaly detection, and risk assessment in unmanned aerial vehicles and other aerial systems. Such data are usually high-dimensional, nonlinear, multirate, and non-stationary, especially during maneuvering flight, environmental distu...

Fang Wang, Tianjing Liu, Yongzheng Wang et al. · Electronics · 0 citations

Review Open access Jul 2026

QAR Data-Driven Flight Anomaly Detection and Risk Warning: A Review of Statistical Learning and Machine Learning Methods in Aviation Safety

This paper reviews QAR data-driven methods for flight anomaly detection and risk warning from the perspective of statistical learning and aviation data science and provides a structured reference for using QAR data to support aviation safety assessment, risk warning, and operational decision-making.

Fang Wang, Yixin Zhang, Yongzheng Wang et al. · Aerospace · 0 citations