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 …

Fuzzy cognitive maps in systems risk analysis: a comprehensive review

E Bakhtavar, M Valipour, S Yousefi, R Sadiq… - Complex & Intelligent …, 2021 - Springer
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 …

Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques

S Hosseini, R Pourmirzaee, DJ Armaghani… - Scientific Reports, 2023 - nature.com
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 …

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 …

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 …

Application of reliability-based back-propagation causality-weighted neural networks to estimate air-overpressure due to mine blasting

S Hosseini, R Poormirzaee, M Hajihassani - Engineering Applications of …, 2022 - Elsevier
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 …

An ANN-Fuzzy Cognitive Map-Based Z-Number Theory to Predict Flyrock Induced by Blasting in Open-Pit Mines

S Hosseini, R Poormirzaee, M Hajihassani… - Rock Mechanics and …, 2022 - Springer
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 …

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 …

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 …

State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting

J Zhou, Y Zhang, Y Qiu - Artificial Intelligence Review, 2024 - Springer
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 …