A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations-Reference-Cited by-同舟云学术

A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations

Published:2024-03 Issue: Volume:238 Page:121872
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Xiong^ORCID,Pan Yue^ORCID,Li Mingguang^ORCID,Chen Jinjian^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

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