Currently, flight turbulences are detected simply by the measured vertical acceleration value, or reported by the pilots after a flight. All these means or ...

Results show that the detection model can effectively identify flight turbulence within an acceptable tolerance, and the different degrees of attribute ...

Abstract—Flight turbulence is a non-ignorable risk during flying, and its timely detection and prediction are greatly important for.

In [17], Wu et al. proposed utilizing QAR data to establish a random forest model for detecting flight turbulence, which demonstrated higher accuracy in a ...

In this study, we combined two traditional methods of EDR estimation and proposed a new procedure to estimated EDR with quick access recorder (QAR) data.

A novel temporal-spatial analysis system for QAR big data ... Detecting and Analysing Spatial-Temporal Aggregation of Flight Turbulence with the QAR Big Data.

Voice Activity Detection in the Wild: A Data-Driven ... Detecting and Analysing Spatial-Temporal Aggregation of Flight Turbulence with the QAR Big Data ...

Detecting and Analysing Spatial-Temporal Aggregation of Flight Turbulence with the QAR Big Data. International Conference on Geoinformatics. 2018 | Journal ...

Detecting and Analysing Spatial-Temporal Aggregation of Flight Turbulence with the QAR Big Data ... Analyzing Flight Unstable Approaches with QAR Big Data.

The paper presents a combined swarm intelligence and machine learning model based on data mining for identifying airline turbulence.