Atmospheric emission of NOx from mining explosives: A critical review
High-energy materials such as emulsions, slurries and ammonium-nitrate fuel-oil (ANFO)
explosives play crucial roles in mining, quarrying, tunnelling and many other infrastructure …
explosives play crucial roles in mining, quarrying, tunnelling and many other infrastructure …
Land subsidence susceptibility mapping in jakarta using functional and meta-ensemble machine learning algorithm based on time-series InSAR data
Areas at risk of land subsidence in Jakarta can be identified using a land subsidence
susceptibility map. This study evaluates the quality of a susceptibility map made using …
susceptibility map. This study evaluates the quality of a susceptibility map made using …
A robust data mining approach for formulation of geotechnical engineering systems
A Hossein Alavi, A Hossein Gandomi - Engineering Computations, 2011 - emerald.com
Purpose–The complexity of analysis of geotechnical behavior is due to multivariable
dependencies of soil and rock responses. In order to cope with this complex behavior …
dependencies of soil and rock responses. In order to cope with this complex behavior …
A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems
AH Gandomi, AH Alavi - Neural Computing and Applications, 2012 - Springer
Complexity of analysis of geotechnical behavior is due to multivariable dependencies of soil
and rock responses. In order to cope with this complex behavior, traditional forms of …
and rock responses. In order to cope with this complex behavior, traditional forms of …
Predicting blast-induced ground vibration using various types of neural networks
M Monjezi, M Ahmadi, M Sheikhan, A Bahrami… - Soil Dynamics and …, 2010 - Elsevier
Prediction of vibration is very important in mining operations as well as civil engineering
projects. In this paper, multi layer perceptron neural network (MLPNN), radial basis function …
projects. In this paper, multi layer perceptron neural network (MLPNN), radial basis function …
Application of decision tree model for the ground subsidence hazard mapping near abandoned underground coal mines
S Lee, I Park - Journal of environmental management, 2013 - Elsevier
Subsidence of ground caused by underground mines poses hazards to human life and
property. This study analyzed the hazard to ground subsidence using factors that can affect …
property. This study analyzed the hazard to ground subsidence using factors that can affect …
Spatial prediction of ground subsidence susceptibility using an artificial neural network
Ground subsidence in abandoned underground coal mine areas can result in loss of life and
property. We analyzed ground subsidence susceptibility (GSS) around abandoned coal …
property. We analyzed ground subsidence susceptibility (GSS) around abandoned coal …
The Application of Machine Learning Techniques in Geotechnical Engineering: A Review and Comparison
W Shao, W Yue, Y Zhang, T Zhou, Y Zhang, Y Dang… - Mathematics, 2023 - mdpi.com
With the development of data collection and storage capabilities in recent decades,
abundant data have been accumulated in geotechnical engineering fields, providing …
abundant data have been accumulated in geotechnical engineering fields, providing …
Ground subsidence susceptibility (GSS) mapping in Grosseto Plain (Tuscany, Italy) based on satellite InSAR data using frequency ratio and fuzzy logic
This study aimed at evaluating and mapping Ground Subsidence Susceptibility (GSS) in the
Grosseto plain (Tuscany Region, Italy) by exploiting multi-temporal satellite InSAR data and …
Grosseto plain (Tuscany Region, Italy) by exploiting multi-temporal satellite InSAR data and …
Determination of the shear failure areas of rock joints using a laser scanning technique and artificial intelligence algorithms
Y Ge, Z Xie, H Tang, B Du, B Cao - Engineering Geology, 2021 - Elsevier
Two artificial intelligence models-backpropagation neural network (BPNN) and support
vector machines (SVM)-were created to investigate the effects of mesostructure …
vector machines (SVM)-were created to investigate the effects of mesostructure …