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 …

Advances in blast-induced impact prediction—A review of machine learning applications

NK Dumakor-Dupey, S Arya, A Jha - Minerals, 2021 - mdpi.com
Rock fragmentation in mining and construction industries is widely achieved using drilling
and blasting technique. The technique remains the most effective and efficient means of …

Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA

H Harandizadeh, DJ Armaghani - Applied Soft Computing, 2021 - Elsevier
Blasting operations typically have several negative impacts upon human beings and
constructions in adjacent region. Among all, air-overpressure (AOp) has been persistently …

Predicting the sorption efficiency of heavy metal based on the biochar characteristics, metal sources, and environmental conditions using various novel hybrid …

B Ke, H Nguyen, XN Bui, HB Bui, Y Choi, J Zhou… - Chemosphere, 2021 - Elsevier
Heavy metals in water and wastewater are taken into account as one of the most hazardous
environmental issues that significantly impact human health. The use of biochar systems …

An ANN-adaptive dynamical harmony search algorithm to approximate the flyrock resulting from blasting

M Hasanipanah, B Keshtegar, DK Thai… - Engineering with …, 2022 - Springer
Blasting is the cheapest and most common method of rock excavation. The basic purpose of
blasting is to breakage and displacement of rock mass and, on the other hand, it has some …

Prediction of blasting induced air-overpressure using a radial basis function network with an additional hidden layer

R Zhang, Y Li, Y Gui, J Zhou - Applied Soft Computing, 2022 - Elsevier
Blasting operations are the most conventional and frequently used rock breakage approach
in the field of Civil and Mining Engineering. However, the side effects induced by blasting …

Review of machine learning application in mine blasting

A Abd Elwahab, E Topal, HD Jang - Arabian Journal of Geosciences, 2023 - Springer
Mine blasting has adopted machine learning (ML) into its practices with the aims of
performance optimization, better decision-making process, and work safety. This study is …

Prospects of applying MWD technology for quality management of drilling and blasting operations at mining enterprises

V Isheyskiy, JA Sanchidrián - Minerals, 2020 - mdpi.com
This paper presents a review of measurement while drilling (MWD) technology as applied to
the mining industry, describes its development path, provides a global review of literature on …

Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree

MT Cao, NM Nguyen, KT Chang, XL Tran… - Advances in Engineering …, 2021 - Elsevier
This paper presents a novel artificial intelligence model to automatically recognize concrete
spall appearing on building components. The model is constructed by integrating a …

Evolution dynamic of intelligent construction strategy of coal mine enterprises in China

Y Tian, X Yang, J Yang, K Mao, Y Yao, H Liang - Heliyon, 2022 - cell.com
The intelligent construction of coal mining enterprises is the fundamental strategy to prevent
and curb major coal mine accidents, and the core technical support to realize the high …