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 …
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 …
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 …
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 …
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 …
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
As an environmentally responsible alternative to conventional concrete, geopolymer
concrete recycles previously used resources to prepare the cementitious component of the …
concrete recycles previously used resources to prepare the cementitious component of the …
ICA-LightGBM Algorithm for Predicting Compressive Strength of Geo-Polymer Concrete
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 …
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 …
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
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 …
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 …
industry, mine dust remains a severe public health and safety issue. This study introduces a …