A data-driven Bayesian network approach to underground commercial facility planning: Integrating machine learning and expert knowledge

Tunnelling and Underground Space Technology 2026

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Authors: Yong-Kang Qiao, Ji-Shuai Xiao, Nikolai Bobylev, Fang‐Le Peng

DOI: 10.1016/j.tust.2026.107875

Cited by: 1

References: 20

Fields of Study & Subjects

Mining Techniques and Economics Underground infrastructure and sustainability Geological Modeling and Analysis

References 20