Natural Language Processing for Aviation Safety: Predicting Injury Levels from Incident Reports in Australia
This study investigates the application of advanced deep learning models for the classification of aviation safety incidents, focusing on four models: Simple Recurrent Neural Network (sRNN), Gated Recurrent Unit (GRU), Bidirectional Long Short-Term Memory (BLSTM), and DistilBERT. The models were eva...
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| Main Authors: | Aziida Nanyonga, Keith Joiner, Ugur Turhan, Graham Wild |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Modelling |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-3951/6/2/40 |
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