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Enabling Safety from Data: Machine Learning/Artificial Intelligence for In-Time Aviation Safety.
| 题名： | Enabling Safety from Data: Machine Learning/Artificial Intelligence for In-Time Aviation Safety. |
| 作者： | Nikunj C. Oza##Chad Stephens |
| 摘要： | Modern jet airliners record nearly one gigabyte of raw data per flight, nearly double that recorded by the previous jet airliners brought into service less than ten years ago. Given this treasure trove of data, data analysis is an ever-important capability to convert these data into knowledge that permits understanding and achieving safe operations. The practice of Data Analytics involves applying Artificial Intelligence (AI) and Machine Learning (ML), among other approaches, to derive insights and identify meaningful relationships in the data. |
| 总页数： | 7 |
| 报告类型： | 科技报告 |
| 发布日期： | 2021 |
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