Sequential deep learning from NTSB reports for aviation safety prognosis
Semantic Scholar · Article · fbe9aacf29db7e41688e03b76ba280d878e0aed0 · Published 2021-10-01 · 3 authors
Abstract and citation only, verbatim from Semantic Scholar; full text lives there. All credit to the authors and Semantic Scholar.
Abstract
A set of data-mining and sequential deep learning techniques are applied to accident investigation reports published by the National Transportation Safety Board in support of the prognosis of adverse events.
Authors
- Xiaoge Zhang
- P. Srinivasan
- S. Mahadevan
Keywords
- Computer Science
- Engineering
Citation
Xiaoge Zhang, P. Srinivasan, S. Mahadevan (2021). Sequential deep learning from NTSB reports for aviation safety prognosis. Semantic Scholar ID fbe9aacf29db7e41688e03b76ba280d878e0aed0. https://doi.org/10.1016/J.SSCI.2021.105390 ↗