Review and prospect the development of dust suppression technology and influencing factors for blasting construction
Z Xie, C Huang, Z Zhao, Y Xiao, Q Zhao, J Lin - … and Underground Space …, 2022 - Elsevier
With the rapid urbanization and shortage of energy, the construction of underground projects
such as urban rail transit, hydropower stations, and coal mines is a general trend. Dust …
such as urban rail transit, hydropower stations, and coal mines is a general trend. Dust …
Fuzzy cognitive maps in systems risk analysis: a comprehensive review
Fuzzy cognitive maps (FCMs) have been widely applied to analyze complex, causal-based
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …
Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
Ground vibration due to blasting is identified as a challenging issue in mining and civil
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …
Super learner ensemble model: A novel approach for predicting monthly copper price in future
J Zhao, S Hosseini, Q Chen, DJ Armaghani - Resources Policy, 2023 - Elsevier
Companies and governments dependent on copper mining need to be able to predict
copper prices in order to make important decisions. Despite the nonlinear and nonstationary …
copper prices in order to make important decisions. Despite the nonlinear and nonstationary …
Towards designing durable sculptural elements: Ensemble learning in predicting compressive strength of fiber-reinforced nano-silica modified concrete
R Wang, J Zhang, Y Lu, J Huang - Buildings, 2024 - mdpi.com
Fiber-reinforced nano-silica concrete (FrRNSC) was applied to a concrete sculpture to
address the issue of brittle fracture, and the primary objective of this study was to explore the …
address the issue of brittle fracture, and the primary objective of this study was to explore the …
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 …
An ANN-Fuzzy Cognitive Map-Based Z-Number Theory to Predict Flyrock Induced by Blasting in Open-Pit Mines
Blasting is widely employed as an accepted mechanism for rock breakage in mining and
civil activities. As an environmental side effect of blasting, flyrock should be investigated …
civil activities. As an environmental side effect of blasting, flyrock should be investigated …
Data-driven optimized artificial neural network technique for prediction of flyrock induced by boulder blasting
X Wang, S Hosseini, D Jahed Armaghani… - Mathematics, 2023 - mdpi.com
One of the most undesirable consequences induced by blasting in open-pit mines and civil
activities is flyrock. Furthermore, the production of oversize boulders creates many problems …
activities is flyrock. Furthermore, the production of oversize boulders creates many problems …
Green policy for managing blasting induced dust dispersion in open-pit mines using probability-based deep learning algorithm
S Hosseini, R Pourmirzaee - Expert Systems with Applications, 2024 - Elsevier
Many artificial intelligence techniques have been employed in forecasting dust pollution due
to bench blasting in mining operations. Whereas considering the uncertainty of blasting …
to bench blasting in mining operations. Whereas considering the uncertainty of blasting …
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 …