Human factors analysis (HFA) has been explored from various aspects (eg, engineering,
psychology, physiology, and ergonomics). Numerous conventional techniques have been …

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

Due to the nonlinear, dynamic and multirisk coupling characteristics of utility tunnels, it is
important to construct a continuous risk assessment method that can consider risk …

This research investigates the potential application of generative language models,
especially ChatGPT, in aviation safety analysis as a means to enhance the efficiency of …

A little over a year after the official announcement from the WHO, the COVID-19 pandemic
has led to dramatic consequences globally. Today, millions of doses of vaccines have …

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 …

Aviation safety is an important part of safety science and pilot behavior is a major factor in
flight safety analysis. However, when analyzing unsafe events, such as runway overrun …

We consider the problem of solving Natural Language Understanding (NLU) tasks
characterized by domain-specific data. An effective approach consists of pre-training …

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