- Tunnel condition assessment via cloud model‐based random forests and self‐training approach
- Prototype-Guided Learning for Geological Condition Inference from TBM Operational Data
- Knowledge-data dual-driven collapse risk decision-making for tunnel boring machine construction
- Performance Evaluation Indicator (PEI): A new paradigm to evaluate the competence of machine learning classifiers in predicting rockmass conditions
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