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Risk Assessment and Prediction of Underground Utility Tunnels Based on Bayesian Network: A Case Study in Beijing, China.

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS(2023)

Cited 3|Views2
Key words
Underground utility tunnels,risk factor identification,Bayesian Network,structure and parameter learning,EM,K2 algorithm
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