We are privileged to be invited by the Honorary Editor-in-Chief, Professor Qihu Qian, Editor-
in-Chief, Professor **a-Ting Feng, and the editorial staff of the Journal of Rock Mechanics …

In the effort to rapidly transform the way we use energy, valuable minerals are coming
increasingly into high demand. Various metals, such as copper and cobalt, are required to …

Accuracy assessments are important steps of classifications and get higher relevance with
the soar of machine and deep learning techniques. We provided a method for quick model …

An intelligent lithology identification method is proposed based on deep learning of the rock
microscopic images. Based on the characteristics of rock images in the dataset, we used …

The current deep learning models for braced excavation cannot predict deformation from the
beginning of excavation due to the need for a substantial corpus of sufficient historical data …

Deep learning models have revolutionized numerous fields, yet their decision-making
processes often remain opaque, earning them the characterization of “black-box” models …

Understanding rock failure behaviors is crucial for various engineering applications,
including geotechnical engineering, mining, petroleum engineering, and underground …

Lithology identification is a critical component of reservoir evaluation and hydrocarbon
development. However, the continental shale rocks, characterized by complex lithologies …

The deep integration of computer field and coal mining field is the only way to coal mine
intellectualization. A variety of artificial intelligence tools have been applied in open-pit and …

One of the most dangerous safety hazard in underground coal mines is roof falls during
retreat mining. Roof falls may cause life-threatening and non-fatal injuries to miners and …