[HTML][HTML] Machine learning based prediction of flyrock distance in rock blasting: A safe and sustainable mining approach
Flyrock is a significant environmental and safety concern in mining and construction. It arises
from various geological and blast design factors, posing risks to workers, machinery, and …
from various geological and blast design factors, posing risks to workers, machinery, and …
Intelligent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack Stress Thresholds
This study aims to make a unique contribution to the existing body of knowledge about rock
strength and deformation parameters and crack stress thresholds through intelligent and …
strength and deformation parameters and crack stress thresholds through intelligent and …
[HTML][HTML] Indirect hazard evaluation by the prediction of backbreak distance in the open pit mine using support vector regression and chicken swarm optimization
Backbreak is one of the undesirable phenomena in open-pit mines and causes several
adverse hazards, such as lanslide, rock falling off and bench instability. Backbreak is …
adverse hazards, such as lanslide, rock falling off and bench instability. Backbreak is …
[PDF][PDF] Harnessing machine learning for seismic event discrimination in deep underground mining: a case study from Western Australia
RS Faradonbeh, J Shakeri, Z Ghaderi, PA Mikula… - 2024 - researchgate.net
This paper presents a comprehensive study on applying machine learning (ML) techniques
to discriminate seismic events in deep underground mining from blast and noise records …
to discriminate seismic events in deep underground mining from blast and noise records …
Harnessing machine learning for seismic event discrimination in deep underground mining: a case study from Western Australia
R Shirani Faradonbeh, J Shakeri… - Deep Mining 2024 …, 2024 - papers.acg.uwa.edu.au
This paper presents a comprehensive study on applying machine learning (ML) techniques
to discriminate seismic events in deep underground mining from blast and noise records …
to discriminate seismic events in deep underground mining from blast and noise records …