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 …

Assessing project portfolio risk via an enhanced GA-BPNN combined with PCA

L Bai, C Song, X Zhou, Y Tian, L Wei - Engineering Applications of Artificial …, 2023 - Elsevier
Assessing project portfolio risk (PPR) is essential for organizations to grasp the overall risk
levels of project portfolios (PPs) and realize PPR mitigation. However, current research is …

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 …

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 …

[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 …

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 …

[HTML][HTML] Forecast of airblast vibrations induced by blasting using support vector regression optimized by the grasshopper optimization (SVR-GO) technique

L Chen, PG Asteris, MZ Tsoukalas, DJ Armaghani… - Applied Sciences, 2022 - mdpi.com
Air overpressure (AOp) is an undesirable environmental effect of blasting. To date, a variety
of empirical equations have been developed to forecast this phenomenon and prevent its …

Extension of reliability information of Z-numbers and fuzzy cognitive map: Development of causality-weighted rock engineering system to predict and risk assessment …

Z Zhang, S Hosseini, M Monjezi, M Yari - International Journal of Rock …, 2024 - Elsevier
Blasting operations in surface mines have the primary purpose of fragmenting the rock mass
into a size that is optimal and economically viable for the mine. This ideal size has an impact …