Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting

C Li, J Zhou, M Khandelwal, X Zhang… - Natural Resources …, 2022 - Springer
Backbreak (BB) is one of the serious adverse blasting consequences in open-pit mines,
because it frequently reduces economic benefits and seriously affects the safety of mines …

Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings

H Nguyen, XN Bui, E Topal - Reliability Engineering & System Safety, 2023 - Elsevier
This study aims to predict ground vibration intensity in mine blasting, which is measured by
peak particle velocity (PPV), using three novel intelligent models based on metaheuristic …

Examining hybrid and single SVM models with different kernels to predict rock brittleness

D Jahed Armaghani, PG Asteris, B Askarian… - Sustainability, 2020 - mdpi.com
The aim of this study was twofold:(1) to assess the performance accuracy of support vector
machine (SVM) models with different kernels to predict rock brittleness and (2) compare the …

Development of a new stacking model to evaluate the strength parameters of concrete samples in laboratory

J Huang, M Zhou, J Zhang, J Ren, NI Vatin… - Iranian journal of …, 2022 - Springer
In this research, a new idea was implemented to combine different models of artificial
intelligence (AI) for evaluating the strength parameters of concrete samples in laboratory. To …

A kernel extreme learning machine-grey wolf optimizer (KELM-GWO) model to predict uniaxial compressive strength of rock

C Li, J Zhou, D Dias, Y Gui - Applied Sciences, 2022 - mdpi.com
Uniaxial compressive strength (UCS) is one of the most important parameters to
characterize the rock mass in geotechnical engineering design and construction. In this …

Reinforced quantum-behaved particle swarm-optimized neural network for cross-sectional distortion prediction of novel variable-diameter-die-formed metal bent tubes

C Wang, Z Wang, S Zhang, X Liu… - Journal of Computational …, 2023 - academic.oup.com
With light weight, high strength, and high performance, metal bent tubes have attracted
increasing applications in aeronautics. However, the growing demand for customized …

Advanced analytics for rock blasting and explosives engineering in mining

JLV Mariz, A Soofastaei - … Leverage Advanced Analytics in Mining Industry …, 2022 - Springer
Blasting is a fundamental operation in the mining of metal and non-metal mine sites. There
is a historical story of using explosive material in both underground and surface mines sites …

Insight into breast cancer detection: new hybrid feature selection method

WM Shaban - Neural Computing and Applications, 2023 - Springer
Breast cancer, which is also the leading cause of death among women, is one of the most
common forms of the disease that affects females all over the world. The discovery of breast …

Prediction of blast-induced ground vibration in a mine using relevance vector regression optimized by metaheuristic algorithms

H Fattahi, M Hasanipanah - Natural Resources Research, 2021 - Springer
Prediction of ground vibration induced by blasting operations is a crucial challenge to
engineers working in surface mines. This study aims to assess the efficiency of two …

A novel combination of tree-based modeling and Monte Carlo simulation for assessing risk levels of flyrock induced by mine blasting

J Ye, M Koopialipoor, J Zhou, DJ Armaghani… - Natural Resources …, 2021 - Springer
The purpose of this study was to develop and introduce novel techniques for predicting and
simulating the flyrock phenomenon that happens in mines due to blasting. Two tree-based …