SafeAeroBERT: Towards a safety-informed aerospace-specific language model

SR Andrade, HS Walsh - AIAA AVIATION 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-3437. vid As aviation systems
continue to operate with high traffic, large amounts of documents containing safety-relevant …

The effect of COVID-19 on self-reported safety incidents in aviation: An examination of the heterogeneous effects using causal machine learning

Y Choi, JR Gibson - Journal of safety research, 2023 - Elsevier
Introduction: Disruptions to aviation operations occur daily on a micro-level with negligible
impacts beyond the inconvenience of rebooking and changing aircrew schedules. The …

Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations

S Andrade, HS Walsh - Journal of Aerospace Information Systems, 2024 - arc.aiaa.org
Aerial wildfire operations are high risk and account for a large number of firefighter deaths.
The increasing intensity of wildfires is driving a surge in aerial operations, as well as interest …

Research and technology challenges for human data analysts in future safety management systems

CL Stephens, LJ Prinzel III, KK Ellis… - 22nd International …, 2023 - ntrs.nasa.gov
Enabling new and novel concepts of operations for Advanced Air Mobility poses an
important need to evolve current safety management systems (SMS) and is posited to be …

Machine Learning Enabled Quantitative Risk Assessment of Aerial Wildfire Response

SR Andrade, HS Walsh - AIAA AVIATION 2022 Forum, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-3913. vid Aerial wildfire operations
are high risk and account for a large number of firefighter deaths. Increasing intensity of …

A Survey Protocol to Assess Meaningfulness and Usefulness of Automated Topic Finding in the NASA Aviation Safety Reporting System

CV Paradis, R Kazman, MD Davies… - AIAA AVIATION 2021 …, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-2404. vid Context: The NASA
Aviation Safety Reporting System (ASRS) is a voluntary confidential aviation safety reporting …

Comparative Analysis of Topic Modeling Techniques on ATSB Text Narratives Using Natural Language Processing

A Nanyonga, H Wasswa, U Turhan… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Improvements in aviation safety analysis call for innovative techniques to extract valuable
insights from the abundance of textual data available in accident reports. This paper …

Identifying Human Errors and Error Mechanisms From Accident Reports Using Large Language Models

L Irshad, H Walsh - … Conferences & Computers and Information in …, 2024 - ntrs.nasa.gov
Emerging operational concepts for aviation hinge on novel paradigms for human machine
interaction. Critical to their safe operation is early consideration of human error into the …

Assessing the use of UAS-related terms in ASRS using Seed Topic Modeling

CV Paradis, M Davies, B Hooey - AIAA SCITECH 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-1127. vid Context: The NASA
Aviation Safety Reporting System (ASRS) is a voluntary confidential system that …

Extracting Lessons of Resilience Using Machine Mining of the ASRS Database

I Barshi, B Matthews, J Feldman - 22nd …, 2023 - corescholar.libraries.wright.edu
Abstract NASA's Aviation Safety Reporting System (ASRS) database is the world's largest
repository of voluntary, confidential safety information provided by aviation's frontline …