The rockburst phenomenon is the major source of the high number of casualties and
fatalities during the construction of deep underground projects. Rockburst poses a severe …

The popularity of cutting‐edge machine learning ensemble approaches has solved many
climate change research and prediction issues. The six top‐performing GCMs obtained from …

Intelligent prediction of rock bursts has great significance in rock mechanics research and a
high value in engineering applications. An intelligent rockburst prediction method based on …

Rockburst is a phenomenon that occurs during mining when there is sudden, violent failure
of rock mass in deep underground areas or regions with high tectonic stress. Rockburst …

The stability of underground excavations is essential for ensuring the safety of mining
operations. Classical stability assessment methods, established in empirical formulas and …

This study proposes a novel intelligent approach for predicting tunnel squeezing severity
and tunnel deformation in squeezing grounds using two robust data mining techniques. This …

The occurrence of rockburst can seriously impact the construction and production of deep
underground engineering. To prevent rockburst, machine learning (ML) models have been …

The rockfill materials (RFM) are emerging and regarded waste reuse product in construction
and mining engineering. In this paper, six distinctive supervised machine learning (SML) …

We conducted a study to evaluate the potential and robustness of gradient boosting
algorithms in rock burst assessment, established a variational autoencoder (VAE) to address …

Failure of pipelines below road pavement results to the disruption of both the traffic
movement and the consumers of the pipelines. Intermediate safeguard layer can be used to …