[HTML][HTML] Rockburst in underground excavations: A review of mechanism, classification, and prediction methods
Technical challenges have always been part of underground mining activities, however,
some of these challenges grow in complexity as mining occurs in deeper and deeper …
some of these challenges grow in complexity as mining occurs in deeper and deeper …
[HTML][HTML] Rockburst prediction and prevention in underground space excavation
The technical challenges associated with deep underground space activities have become
increasingly significant. Among these challenges, one major concern is the assessment of …
increasingly significant. Among these challenges, one major concern is the assessment of …
Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations
The stability evaluation of underground entry-type excavations is a prerequisite of the entry-
type mining method, which directly affects whether workers can be provided with a safe and …
type mining method, which directly affects whether workers can be provided with a safe and …
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential
Among the research hotspots in geological/geotechnical engineering, research on the
prediction of soil liquefaction potential is still limited. In this research, several machine …
prediction of soil liquefaction potential is still limited. In this research, several machine …
[HTML][HTML] Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors
Coal burst is a severe hazard that can result in fatalities and damage of facilities in
underground coal mines. To address this issue, a robust unascertained combination model …
underground coal mines. To address this issue, a robust unascertained combination model …
Rockburst prediction in hard rock mines developing bagging and boosting tree-based ensemble techniques
Rockburst prediction is of vital significance to the design and construction of underground
hard rock mines. A rockburst database consisting of 102 case histories, ie, 1998–2011 …
hard rock mines. A rockburst database consisting of 102 case histories, ie, 1998–2011 …
Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation
The prediction of the potential of soil liquefaction induced by the earthquake is a vital task in
construction engineering and geotechnical engineering. To provide a possible solution to …
construction engineering and geotechnical engineering. To provide a possible solution to …
Strength of stacking technique of ensemble learning in rockburst prediction with imbalanced data: Comparison of eight single and ensemble models
Rockburst is a common dynamic geological hazard, severely restricting the development
and utilization of underground space and resources. As the depth of excavation and mining …
and utilization of underground space and resources. As the depth of excavation and mining …
A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling
This research focuses on presenting new models based on classifiers that can be applied to
various problems. Adaboost is a type of ensemble learning machine that uses classifiers that …
various problems. Adaboost is a type of ensemble learning machine that uses classifiers that …
A novel feature selection approach based on tree models for evaluating the punching shear capacity of steel fiber-reinforced concrete flat slabs
When designing flat slabs made of steel fiber-reinforced concrete (SFRC), it is very important
to predict their punching shear capacity accurately. The use of machine learning seems to …
to predict their punching shear capacity accurately. The use of machine learning seems to …