State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
The technological difficulties related with blasting operations have become increasingly
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
[HTML][HTML] Interpretable modeling of metallurgical responses for an industrial coal column flotation circuit by XGBoost and SHAP-A “conscious-lab” development
SC Chelgani, H Nasiri, M Alidokht - International Journal of Mining Science …, 2021 - Elsevier
Surprisingly, no investigation has been explored relationships between operating variables
and metallurgical responses of coal column flotation (CF) circuits based on industrial …
and metallurgical responses of coal column flotation (CF) circuits based on industrial …
Optimal design and feature selection by genetic algorithm for emotional artificial neural network (EANN) in rainfall-runoff modeling
Rainfall-runoff (rr) modeling at different time scales is considered as a significant issue in
hydro-environmental planning. As a first hydrological implementation, for one-time-ahead rr …
hydro-environmental planning. As a first hydrological implementation, for one-time-ahead rr …
[HTML][HTML] Development of ensemble learning models to evaluate the strength of coal-grout materials
In the loose and fractured coal seam with particularly low uniaxial compressive strength
(UCS), driving a roadway is extremely difficult as roof falling and wall spalling occur …
(UCS), driving a roadway is extremely difficult as roof falling and wall spalling occur …
Application of reliability-based back-propagation causality-weighted neural networks to estimate air-overpressure due to mine blasting
In the present study, the air-overpressure (AOp) due to mine blasting is predicted using an
uncertainty intelligence method based on the Z-number reliability and fuzzy cognitive map …
uncertainty intelligence method based on the Z-number reliability and fuzzy cognitive map …
[HTML][HTML] Machine learning-based constitutive models for cement-grouted coal specimens under shearing
Cement-based grouting has been widely used in mining engineering; its constitutive law has
not been comprehensively studied. In this study, a novel constitutive law of cement-grouted …
not been comprehensively studied. In this study, a novel constitutive law of cement-grouted …
Performance of hybrid SCA-RF and HHO-RF models for predicting backbreak in open-pit mine blasting operations
Backbreak is an adverse phenomenon in blasting operation, which can cause, among
others, mine walls instability, falling down of machinery, drilling efficiency reduction and …
others, mine walls instability, falling down of machinery, drilling efficiency reduction and …
Horizontal in situ stresses prediction using a CNN-BiLSTM-attention hybrid neural network
Horizontal in situ stress prediction plays an important role in petroleum exploration, such as
wellbore stability analysis and hydraulic fracturing design. However, owing to the …
wellbore stability analysis and hydraulic fracturing design. However, owing to the …
Advanced analytics for rock blasting and explosives engineering in mining
JLV Mariz, A Soofastaei - … Leverage Advanced Analytics in Mining Industry …, 2022 - Springer
Blasting is a fundamental operation in the mining of metal and non-metal mine sites. There
is a historical story of using explosive material in both underground and surface mines sites …
is a historical story of using explosive material in both underground and surface mines sites …
Prediction of blasting induced air-overpressure using a radial basis function network with an additional hidden layer
Blasting operations are the most conventional and frequently used rock breakage approach
in the field of Civil and Mining Engineering. However, the side effects induced by blasting …
in the field of Civil and Mining Engineering. However, the side effects induced by blasting …