Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] State-of-the-art review of soft computing applications in underground excavations
Soft computing techniques are becoming even more popular and particularly amenable to
model the complex behaviors of most geotechnical engineering systems since they have …
model the complex behaviors of most geotechnical engineering systems since they have …
[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 …
Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration
Accurate prediction of ground vibration caused by blasting has always been a significant
issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon …
issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon …
Short-term rockburst damage assessment in burst-prone mines: An explainable XGBOOST hybrid model with SCSO algorithm
Rockburst can cause significant damage to infrastructure and equipment, and pose a
substantial risk to the safety of mine workers. Effective prediction of short-term rockburst …
substantial risk to the safety of mine workers. Effective prediction of short-term rockburst …
Short-term rockburst prediction in underground project: insights from an explainable and interpretable ensemble learning model
Rockburst is a frequent challenge during tunnel and other underground construction and is
an extreme rock damage phenomenon. Therefore, it is very crucial to accurately estimate the …
an extreme rock damage phenomenon. Therefore, it is very crucial to accurately estimate the …
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
The advance rate (AR) of a tunnel boring machine (TBM) in hard rock condition is a key
parameter for the successful accomplishment of a tunneling project, and the proper and …
parameter for the successful accomplishment of a tunneling project, and the proper and …
A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model
Recycled aggregate concrete is used as an alternative material in construction engineering,
aiming to environmental protection and sustainable development. However, the …
aiming to environmental protection and sustainable development. However, the …
[HTML][HTML] Predicting TBM penetration rate in hard rock condition: a comparative study among six XGB-based metaheuristic techniques
A reliable and accurate prediction of the tunnel boring machine (TBM) performance can
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
Evaluation method of rockburst: state-of-the-art literature review
The evaluation of rockburst is becoming increasingly important as mining activities reach
greater depths below the ground surface. In the literature, rockburst assessment has been …
greater depths below the ground surface. In the literature, rockburst assessment has been …
Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories
Prediction of slope stability is one of the most crucial tasks in mining and geotechnical
engineering projects. The accuracy of the prediction is very important for mitigating the risk …
engineering projects. The accuracy of the prediction is very important for mitigating the risk …