Systematic review of machine learning applications in mining: Exploration, exploitation, and reclamation

D Jung, Y Choi - Minerals, 2021 - mdpi.com
Recent developments in smart mining technology have enabled the production, collection,
and sharing of a large amount of data in real time. Therefore, research employing machine …

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 …

A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting

Y Dai, M Khandelwal, Y Qiu, J Zhou, M Monjezi… - Neural Computing and …, 2022 - Springer
Backbreak is a rock fracture problem that exceeds the limits of the last row of holes in an
explosion operation. Excessive backbreak increases operational costs and also poses a …

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 …

Several tree-based solutions for predicting flyrock distance due to mine blasting

M Yari, DJ Armaghani, C Maraveas, AN Ejlali… - Applied Sciences, 2023 - mdpi.com
Blasting operations involve some undesirable environmental issues that may cause damage
to equipment and surrounding areas. One of them, and probably the most important one, is …

An ANN-Fuzzy Cognitive Map-Based Z-Number Theory to Predict Flyrock Induced by Blasting in Open-Pit Mines

S Hosseini, R Poormirzaee, M Hajihassani… - Rock Mechanics and …, 2022 - Springer
Blasting is widely employed as an accepted mechanism for rock breakage in mining and
civil activities. As an environmental side effect of blasting, flyrock should be investigated …

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model

M Hasanipanah, A Shahnazar… - Engineering with …, 2017 - Springer
The aim of the present study is to predict air-overpressure (AOp) resulting from blasting
operations in the Shur river dam, Iran. AOp is considered as one of the most detrimental side …

Performance of hybrid SCA-RF and HHO-RF models for predicting backbreak in open-pit mine blasting operations

J Zhou, Y Dai, M Khandelwal, M Monjezi, Z Yu… - Natural Resources …, 2021 - Springer
Backbreak is an adverse phenomenon in blasting operation, which can cause, among
others, mine walls instability, falling down of machinery, drilling efficiency reduction and …

Effective assessment of blast-induced ground vibration using an optimized random forest model based on a Harris hawks optimization algorithm

Z Yu, X Shi, J Zhou, X Chen, X Qiu - Applied Sciences, 2020 - mdpi.com
Most mines choose the drilling and blasting method which has the characteristics of being a
cheap and efficient method to fragment rock mass, but blast-induced ground vibration …

An optimized ANN model based on genetic algorithm for predicting rip** production

ET Mohamad, RS Faradonbeh, DJ Armaghani… - Neural Computing and …, 2017 - Springer
Due to the environmental constraints and the limitations on blasting, rip** as a ground
loosening and breaking method has become more popular in both mining and civil …