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Main by zorganelyna is a document available to read on EtoBox.

The document discusses the application of Natural Language Processing (NLP) to identify human factors in aviation accident causes using the SHEL methodology. It highlights the limitations of current manual classification methods and proposes a machine learning approach that significantly reduces analysis time while maintaining accuracy. The study demonstrates the effectiveness of this automated system through real accident data, aiming to enhance aviation safety management practices.

Author
zorganelyna
Language
EN