Aviation

Hierarchical Multilabel Classification for Fine-Level Event Extraction from Aviation Accident Reports
Hierarchical multilabel models for fine-level event extraction from aviation accident reports.
Project
Event Extraction for aviation accident reports through attention-based multi-label classification
Event Extraction for aviation accident reports through attention-based multi-label classification
Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach
Trajectory prediction is an essential component of the next generation national air transportation system. Reliable trajectory …
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Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report
Sequential event prediction is a well-studied area and has been widely used in proactive management, recommender systems and …
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Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report
Spatio-Temporal Anomaly Detection, Diagnostics, and Prediction of the Air-Traffic Trajectory Deviation Using the Convective Weather
With ahead-of-time aircraft management, we are able to re- duce aircraft collision and improve air traffic capacity. How- ever, there …
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