Real-time and accurate prediction of surrounding rock grade is crucial for tunnel dynamic
construction and design. However, the internationally accepted semi-quantitative methods …

The classification of surrounding rock quality is critical for the dynamic construction and
design of tunnels. However, obtaining complete parameters for predicting the surrounding …

This study proposes an intelligent method for recognizing the lithology of a tunnel working
face by combining a convolutional neural network and visual transformer. First, an efficient …

In tunnel design and construction, proper and accurate classification of rock surrounding
tunnels is needed to ensure tunnel construction safety, guarantee construction quality, and …

The intactness of rock masses is a fundamental parameter in classifying surrounding rocks.
Due to limitations imposed by the extent of tunnel face outcrops, the assessment of rock …

Assessment of rock mass quality significantly impacts the design and construction of
underground and open-pit mines from the point of stability and economy. This study …

This research aims to study the possibility of predicting vibration levels from nearby metro
lines using machine learning algorithms. As part of the study, a set of measurements was …