Experimental data – driven algorithm to predict muckpile characteristics in jointed overburden bench using unmanned aerial vehicle and AI tools-Reference-Cited by-同舟云学术

Experimental data – driven algorithm to predict muckpile characteristics in jointed overburden bench using unmanned aerial vehicle and AI tools

Published:2024-04-13 Issue:8 Volume:38 Page:642-676
ISSN:1748-0930
Container-title:International Journal of Mining, Reclamation and Environment
language:en
Short-container-title:International Journal of Mining, Reclamation and Environment

Author:

Chandrahas N. Sri¹^ORCID,Fissha Yewuhalashet²³,Choudhary Bhanwar Singh⁴,Olamide Taiwo Blessing⁵,Venkataramayya M. S.¹,Adachi Tsuyoshi²

Affiliation:

1. Department of Mining Engineering, Malla Reddy Engineering College, Hyderabad, India

2. Department of Geosciences, Geotechnology and Materials Engineering for Resources, Graduate School of International Resource Sciences, Akita University, Akita, Japan

3. Department of Mining Engineering, Aksum University, Aksum, Tigray, Ethiopia

4. Department of Mining Engineering, IIT (ISM), Dhanbad, India

5. Department Mining Engineering, Federal University of Technology Akure, Akure, Nigeria

Funder

This research received

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17480930.2024.2340876

Reference86 articles.

1. Effect of blast induced rock fragmentation and muckpile angle on excavator performance in surface mines

2. Theory and Technology of Rock Excavation for Civil Engineering

3. Research progress of the fundamental theory and technology of rock blasting

4. F. Ouchterlony Influence of blasting on the size distribution and properties of muckpile fagments: A state-of-the-art review (2003).

5. Statistical Estimation of Blast Fragmentation by Applying 3D Laser Scanning to Muck Pile

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