Environmental hazards posed by mine dust, and monitoring method of mine dust pollution using remote sensing technologies: An overview
The over-exploitation of mineral resources has led to increasingly serious dust pollution in
mines, resulting in a series of negative impacts on the environment, mine workers …
mines, resulting in a series of negative impacts on the environment, mine workers …
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 …
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 …
A novel hunger games search optimization-based artificial neural network for predicting ground vibration intensity induced by mine blasting
H Nguyen, XN Bui - Natural Resources Research, 2021 - Springer
Innovation efforts in developing soft computing models (SCMs) of researchers and scholars
are significant in recent years, especially for problems in the mining industry. So far, many …
are significant in recent years, especially for problems in the mining industry. So far, many …
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 …
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 …
Improved Z-number based fuzzy fault tree approach to analyze health and safety risks in surface mines
Surface mining is vulnerable and subject to a wide range of risks, requiring extensive risk
analysis to ensure mine health and safety (MHS). Fault tree analysis (FTA) is a graphic …
analysis to ensure mine health and safety (MHS). Fault tree analysis (FTA) is a graphic …