Deep Learning-Based Estimation of Muckpile Fragmentation Using Simulated 3D Point Cloud Data

This research introduces an innovative technique for estimating the particle size distribution of muckpiles, a determinant significantly affecting the efficiency of mining operations. By employing deep learning and simulation methodologies, this study enhances the precision and efficiency of these v...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Hajime Ikeda, Taiga Sato, Kohei Yoshino, Hisatoshi Toriya, Hyongdoo Jang, Tsuyoshi Adachi, Itaru Kitahara, Youhei Kawamura
Format:	Article
Language:	English
Published:	MDPI AG 2023-10-01
Subjects:	muckpile particle size distribution 3D point cloud photogrammetry deep learning
Online Access:	https://www.mdpi.com/2076-3417/13/19/10985