A Review of Machine Learning Applications in Monitoring Data Processing for Underground Engineering
This paper aims to provide theoretical references and methodological guidance for safety early warning, intelligent construction, and full life-cycle health management of underground engineering by highlighting cross-project generalization and probabilistic prediction as important methodological challenges.