Civil aviation safety risk intelligent early warning model based on text mining and multi-model fusion
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Civil aviation safety risk intelligent early warning model based on text mining and multi-model fusion
Authors
Keywords
-
Journal
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING
Volume -, Issue -, Pages 095441002311532
Publisher
SAGE Publications
Online
2023-04-01
DOI
10.1177/09544100231153298
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Relational Graph Convolutional Network for Text-Mining-Based Accident Causal Classification
- (2022) Zaili Chen et al. Applied Sciences-Basel
- A comparative study on class-imbalanced gas turbine fault diagnosis
- (2022) Mingliang Bai et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING
- A novel ensemble method for classification in imbalanced datasets using split balancing technique based on instance hardness (sBal_IH)
- (2021) Halimu Chongomweru et al. NEURAL COMPUTING & APPLICATIONS
- Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees
- (2021) Qinghua Gu et al. APPLIED SOFT COMPUTING
- A hybrid deep neural network based on multi-time window convolutional bidirectional LSTM for civil aircraft APU hazard identification
- (2021) Di ZHOU et al. Chinese Journal of Aeronautics
- A novel hybrid method for flight departure delay prediction using Random Forest Regression and Maximal Information Coefficient
- (2021) Zhen Guo et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method
- (2021) Zhijian Qu et al. ENERGY
- Hybrid two-stream dynamic CNN for view adaptive human action recognition using ensemble learning
- (2021) Muhammad Hafeez Javed et al. International Journal of Machine Learning and Cybernetics
- Developing Computational Model to Predict Protein-Protein Interaction Sites Based on the XGBoost Algorithm
- (2020) Aijun Deng et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Design of hazard identification system for aircraft power supply system based on SIMPLORER and MATLAB co-simulation
- (2020) Di Zhou et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING
- Hazard analysis: A deep learning and text mining framework for accident prevention
- (2020) Botao Zhong et al. ADVANCED ENGINEERING INFORMATICS
- LPG-model: A novel model for throughput prediction in stream processing, using a light gradient boosting machine, incremental principal component analysis, and deep gated recurrent unit network
- (2020) Zheng Chu et al. INFORMATION SCIENCES
- Transfer learning and SE-ResNet152 networks-based for small-scale unbalanced fish species identification
- (2020) Xiaoling Xu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A feature selection and multi-model fusion-based approach of predicting air quality
- (2019) Ying Zhang et al. ISA TRANSACTIONS
- Applications of machine learning methods for engineering risk assessment – A review
- (2019) Jeevith Hegde et al. SAFETY SCIENCE
- Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions
- (2018) Yung-Chia Chang et al. APPLIED SOFT COMPUTING
- Ensemble machine learning models for aviation incident risk prediction
- (2018) Xiaoge Zhang et al. DECISION SUPPORT SYSTEMS
- Civil aviation safety evaluation based on deep belief network and principal component analysis
- (2018) Xiaomei Ni et al. SAFETY SCIENCE
- Document-level sentiment classification using hybrid machine learning approach
- (2017) Abinash Tripathy et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Learning from accidents: Interactions between human factors, technology and organisations as a central element to validate risk studies
- (2017) Raphael Moura et al. SAFETY SCIENCE
- Natural language processing for aviation safety reports: From classification to interactive analysis
- (2016) Ludovic Tanguy et al. COMPUTERS IN INDUSTRY
- Approximate TF–IDF based on topic extraction from massive message stream using the GPU
- (2015) Ugo Erra et al. INFORMATION SCIENCES
- Organizational contradictions between safety and security – Perceived challenges and ways of integrating critical infrastructure protection in civil aviation
- (2015) Kenneth A. Pettersen et al. SAFETY SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now