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 …
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 …
Prediction of compressive strength of geopolymer concrete landscape design: Application of the novel hybrid RF–GWO–XGBoost algorithm
J Zhang, R Wang, Y Lu, J Huang - Buildings, 2024 - mdpi.com
Landscape geopolymer concrete (GePoCo) with environmentally friendly production
methods not only has a stable structure but can also effectively reduce environmental …
methods not only has a stable structure but can also effectively reduce environmental …
Prediction of flyrock distance in surface mining using a novel hybrid model of harris hawks optimization with multi-strategies-based support vector regression
To weaken and control effectively the harm of flyrock in open-pit mines, this study aimed to
develop a novel Harris hawks optimization with multi-strategies-based support vector …
develop a novel Harris hawks optimization with multi-strategies-based support vector …
Mine-to-crusher policy: Planning of mine blasting patterns for environmentally friendly and optimum fragmentation using Monte Carlo simulation-based multi-objective …
The quality of rock fragmentation intensively affects downstream operations and operational
costs. Besides, Environmental side effects are inevitable due to mine blasting despite …
costs. Besides, Environmental side effects are inevitable due to mine blasting despite …
Underground mine safety and health: A hybrid MEREC–CoCoSo system for the selection of best sensor
This research addresses the paramount issue of enhancing safety and health conditions in
underground mines through the selection of optimal sensor technologies. A novel hybrid …
underground mines through the selection of optimal sensor technologies. A novel hybrid …
[HTML][HTML] Decision tree models for the estimation of geo-polymer concrete compressive strength
J Zhou, Z Su, S Hosseini, Q Tian, Y Lu… - Mathematical …, 2024 - aimspress.com
The green concretes industry benefits from utilizing gel to replace parts of the cement in
concretes. However, measuring the compressive strength of geo-polymer concretes …
concretes. However, measuring the compressive strength of geo-polymer concretes …
Smart mining policy: Integrating fuzzy-VIKOR technique and the Z-number concept to implement industry 4.0 strategies in mining engineering
New technologies have significant effects on increasing efficiency and improving the
productivity of industries, especially the mining industry. Nevertheless, selecting and …
productivity of industries, especially the mining industry. Nevertheless, selecting and …