Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

Advanced digital data-driven applications have evolved and significantly impacted the
transportation sector in recent years. This systematic review examines natural language …

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 …

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 …

Major aviation organizations have highlighted the need to adopt artificial intelligence (AI) to
transform operations and improve efficiency and safety. However, the aviation industry …

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 …

The integration of artificial intelligence of things (AIoT) is transforming aviation health
monitoring systems by combining extensive data collection with advanced analytical …

Reclassification of massive datasets acquired through different approaches, such as web
scraping, is a big challenge to demonstrate the effectiveness of a machine learning model …

This study focuses on the classification of safety occurrences in the air transport system
using natural language processing (NLP) and artificial intelligence (AI) models. The …

As a result of the tremendous boost in computational power, the current prevalence of large
bodies of data, and the growing power of data-driven algorithms, natural language …