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 …

Mining 4.0 and climate neutrality: A unified and reliable decision system for safe, intelligent, and green & climate-smart mining

IM Jiskani, W Zhou, S Hosseini, Z Wang - Journal of Cleaner Production, 2023 - Elsevier
The global transition to cleaner energy sources intensifies pressure on the mining industry to
secure the supply of energy transition minerals. However, fulfilling the demands of climate …

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 …

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 …

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 …

Mechanical framework for geopolymer gels construction: an optimized LSTM technique to predict compressive strength of fly ash-based geopolymer gels concrete

X Shi, S Chen, Q Wang, Y Lu, S Ren, J Huang - Gels, 2024 - mdpi.com
As an environmentally responsible alternative to conventional concrete, geopolymer
concrete recycles previously used resources to prepare the cementitious component of the …

ICA-LightGBM Algorithm for Predicting Compressive Strength of Geo-Polymer Concrete

Q Wang, J Qi, S Hosseini, H Rasekh, J Huang - Buildings, 2023 - mdpi.com
The main goal of the present study is to investigate the capability of hybridizing the
imperialist competitive algorithm (ICA) with an intelligent, robust, and data-driven technique …

Optimizing open-pit coal mining operations: Leveraging meteorological conditions for dust removal and diffusion

Z Wang, W Zhou, IM Jiskani, J Yan, H Luo - International Journal of Coal …, 2024 - Springer
Dust pollution from Chinese open-pit coal mines (OPCMs) threatens the coexistence of
resource development and environmental protection. This research introduces a new …

Mathematical-Based Gene Expression Programming (GEP): A Novel Model to Predict Zinc Separation from a Bench-Scale Bioleaching Process

S Hosseini, S Javanshir, H Sabeti… - Journal of Sustainable …, 2023 - Springer
Attempts to predict metal recovery accurately have been hindered by the complexity of the
solvent extraction process, nonlinear effects, and the multitude of influencing factors …

Accurate long-term dust concentration prediction in open-pit mines: A novel machine learning approach integrating meteorological conditions and mine production …

Y Yang, W Zhou, Z Wang, IM Jiskani, Y Yang - Journal of Cleaner …, 2024 - Elsevier
Amidst the transition from rapid growth to high-quality development in the surface mining
industry, mine dust remains a severe public health and safety issue. This study introduces a …