Rapid rock mass classification framework using machine learning and semantic segmentation for underground mining

.1016/j.engappai.2025.111530
Published : 15 November 2025 Publication History
Abstract
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Abstract
Conventional rock mass classification still heavily relies on manual field investigations and laboratory testing. Despite advancements in Artificial Intelligence (AI)-enhanced methods, integrating machine learning for reliable classification remains challenging. This study proposes an optimized AI-powered rock mass classification framework. First, three types of machine learning models – tree-based models, a stacking ensemble model, and a Graph Neural Netwo

原文链接：https://dl.acm.org/doi/10.1016/j.engappai.2025.111530