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

Large Language Models (LLMs), based on their highly developed ability to comprehend and
generate human-like text, promise to revolutionize all aspects of society. These LLMs …

View Video Presentation: https://doi. org/10.2514/6.2023-3436. vid Data-driven methods
form the frontier of reactive aviation safety analysis. While analysis of quantitative data from …

View Video Presentation: https://doi. org/10.2514/6.2023-3611. vid A type certificate is a
design approval issued by the FAA when the applicant demonstrates that an aircraft design …

Notice to airmen (NOTAMs) constitutes a vital element in civil aviation operational
intelligence. Historically, the processing of these notices has been manual. However, with …

This paper introduces a new IncidentAI dataset for safety prevention. Different from prior
corpora that usually contain a single task, our dataset comprises three tasks: named entity …

This study outlines the expansion and applications of Aviation Knowledge Graph (Aviation-
KG), available openly, with a focus on aviation safety. Using Deep Learning (DL) Natural …

Ensuring ground and air safety is top priority in building and maintaining existing aviation
and future advanced air mobility systems. Changes to both aviation and connected systems …

Advancements in natural language processing (NLP) technologies offer a unique
opportunity to furnish aircraft crews, primarily pilots, with digital instructions for taxiing …

The surge in the application of big data and predictive analytics in fields of crisis
management, such as pandemics and epidemics, highlights the vital need for advanced …