Withthe technological advent, the clustering phenomenon is recently being used in various
domains and in natural language recognition. This article contributes to the clustering …

Data-driven frameworks for analyzing aviation safety data have recently gained traction. Text-
based machine learning techniques often rely purely on word frequency analysis to …

In recent years, due to the increased availability of data and improvements in computing
power, application of machine learning techniques to various aviation safety problems for …

Identifying promptly potential safety risks and threats in the aviation system reduces the
occurrence of aviation incidents (especially accidents), protects passengers' lives and …

The complexity of commercial aviation operations has grown substantially in recent years,
together with a diversification of techniques for collecting and analyzing flight data. As a …

With the growth in commercial aviation traffic and the need for improved environmental
performance, strategies to lower emissions that can be implemented in the near term are …

Go-arounds are a necessary aspect of commercial aviation and are conducted after a
landing attempt has been aborted. It is necessary to conduct go-arounds in the safest …

Aviation accidents have attracted a lot of attention due to the fatalities and considerable
property loss. The complexity underlying these accidents is often the result of multiple risk …

COVID-19 has continuously influenced energy security and caused an enormous impact on
human life and social activities due to the stay-at-home orders. After the Omicron wave, the …

Accurate prediction of aviation failure events helps to anticipate future safety situations and
protect against further uncontrollable accidents. However, the large sample size, complex …