首页|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 ...)
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 ...)
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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.”
NanjingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNanjing University of Aeronautics and Astronautics
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