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 …

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 …

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 …

Prediction of flyrock distance in surface mining using a novel hybrid model of harris hawks optimization with multi-strategies-based support vector regression

C Li, J Zhou, K Du, DJ Armaghani, S Huang - Natural Resources Research, 2023 - Springer
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 …

Mine-to-crusher policy: Planning of mine blasting patterns for environmentally friendly and optimum fragmentation using Monte Carlo simulation-based multi-objective …

S Hosseini, A Mousavi, M Monjezi, M Khandelwal - Resources Policy, 2022 - Elsevier
The quality of rock fragmentation intensively affects downstream operations and operational
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

Q Wang, T Cheng, Y Lu, H Liu, R Zhang, J Huang - Sensors, 2024 - mdpi.com
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 …

[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 …

Smart mining policy: Integrating fuzzy-VIKOR technique and the Z-number concept to implement industry 4.0 strategies in mining engineering

R Poormirzaee, S Hosseini, R Taghizadeh - Resources Policy, 2022 - Elsevier
New technologies have significant effects on increasing efficiency and improving the
productivity of industries, especially the mining industry. Nevertheless, selecting and …