Review of deep learning approaches in solving rock fragmentation problems

Review of deep learning approaches in solving rock fragmentation problems

One of the most significant challenges of the mining industry is resource yield estimation from visual data. An example would be identification of the rock chunk distribution parameters in an open pit. Solution of this task allows one to estimate blasting quality and other parameters of open-pit min...

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Bibliographic Details
Main Authors: Mikhail V. Ronkin, Elena N. Akimova, Vladimir E. Misilov
Format: Article
Language:English
Published: AIMS Press 2023-08-01
Series:AIMS Mathematics
Subjects:
computer vision
deep learning
convolutional neural networks
rock fragmentation
blast quality estimation
real-time performance
parallel computing
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20231219?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.20231219?viewType=HTML

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