Robotics & Machine Learning Daily News2024,Issue(Jan.1) :38-39.

New Machine Learning Study Findings Reported from Nanjing University of Aeronautics and Astronautics (Automatic Identification of Causal Factors From Fall-related Accident Investigation Reports Using Machine Learning and Ensemble Learning ...)

Robotics & Machine Learning Daily News2024,Issue(Jan.1) :38-39.

New Machine Learning Study Findings Reported from Nanjing University of Aeronautics and Astronautics (Automatic Identification of Causal Factors From Fall-related Accident Investigation Reports Using Machine Learning and Ensemble Learning ...)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated,“To enhance the performance of learning from past fall-related accidents, this study developed an innovativeframework for automatically extracting every individual causal factor from accident investigationreports based upon the modified framework of the human factors analysis and classification system. Multipletechniques including the synthetic minority oversampling technique (SMOTE) algorithm for handlingimbalanced data, soft voting with unequal weights for ensemble learning, and hyperparameter optimizationwere adopted to improve automatic identification of causal factors from unstructured text data.”

Key words

Nanjing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Nanjing University of Aeronautics and Astronautics

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文