A scientometrics review of soil properties prediction using soft computing approaches

J Khatti, KS Grover - Archives of Computational Methods in Engineering, 2024 - Springer
In this world, several types of soils are available with their different engineering properties.
Determining each soil's engineering properties is difficult because the laboratory procedures …

[HTML][HTML] Application of percentile color intensities of borehole images for automatic fluorite grade assessment

E Li, P Segarra, JA Sanchidrián, S Gómez… - Ore Geology …, 2023 - Elsevier
This paper describes a practical application of support vector machine (SVM) for ore grading
in an underground fluorite mine. It covers all aspects from the inception of the experiments …

[HTML][HTML] Inverting the rock mass P-wave velocity field ahead of deep buried tunnel face while borehole drilling

L Liu, S Li, M Zheng, D Wang, M Chen, J Zhou… - International Journal of …, 2024 - Elsevier
Imaging the wave velocity field surrounding a borehole while drilling is a promising and
urgently needed approach for extending the exploration range of the borehole point. This …

[HTML][HTML] An enhanced stability evaluation system for entry-type excavations: Utilizing a hybrid bagging-SVM model, GP and kriging techniques

S Huang, J Zhou - Journal of Rock Mechanics and Geotechnical …, 2024 - Elsevier
In underground mining, especially in entry-type excavations, the instability of surrounding
rock structures can lead to incalculable losses. As a crucial tool for stability analysis in entry …

Normalizing Large Scale Sensor-Based MWD Data: An Automated Method toward A Unified Database

A Abbaszadeh Shahri, C Shan, S Larsson… - Sensors, 2024 - mdpi.com
In the context of geo-infrastructures and specifically tunneling projects, analyzing the large-
scale sensor-based measurement-while-drilling (MWD) data plays a pivotal role in …

A Comprehensive Method for Similarity Evaluation in Discrete Fracture Network Modeling of Jointed Rock Masses

J Chen, H Seo, C Gao, Q Fang, D Zhang… - Rock Mechanics and …, 2024 - Springer
To verify the accuracy and rationality of discrete fracture network modeling, a
comprehensive method for evaluating the similarity between two-dimensional fracture maps …

[HTML][HTML] Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques

A Fernández, P Segarra, JA Sanchidrián… - Ore Geology Reviews, 2024 - Elsevier
Chemical X-ray fluorescence (XRF) analyses of drill cuttings and measurement-while-
drilling (MWD) records were jointly collected in two production levels with different …

Machine learning analysis of pressure fluctuations in a gas-solid fluidized bed

H Cheng, Z Liu, S Li, Y Du - Powder Technology, 2024 - Elsevier
Pressure fluctuations in a gas-solid fluidized bed involve much information of the dynamic
system. To uncover the value and significance of the pressure fluctuations time series, two …

Digitization of the mining industry: Pathways to sustainability through enabling technologies

C Chatterjee, R Sindhwani, SK Mangla, N Hasteer - Resources Policy, 2025 - Elsevier
Mining is one of the biggest industries in terms of product generation and revenue earned,
and is deemed as the lifeline for countries around the world. However, in current times, it is …

Machine learning methods based on geophysical monitoring data in low time delay mode for drilling optimization

A Osipov, E Pleshakova, A Bykov, O Kuzichkin… - IEEE …, 2023 - ieeexplore.ieee.org
The purpose of the article is to create an effective method to monitor the state of the drill
string and the bit without interfering with the drilling process itself in low-time delay mode …