[HTML][HTML] Machine learning based prediction of flyrock distance in rock blasting: A safe and sustainable mining approach

BO Taiwo, Y Fissha, S Hosseini, M Khishe… - Green and Smart Mining …, 2024 - Elsevier
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 …

Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP …

M Alizamir, M Wang, RM Adnan Ikram… - Engineering …, 2024 - Taylor & Francis
In recent decades, securing drinkable water sources has become a pressing concern for
populations in various regions worldwide. Therefore, to address the growing need for …

Explosive Utilization Efficiency Enhancement: An Application of Machine Learning for Powder Factor Prediction using Critical Rock characteristics

BO Taiwo, A Gebretsadik, HH Abbas, M Khishe… - Heliyon, 2024 - cell.com
Maximizing the use of explosives is crucial for optimising blasting operations, significantly
influencing productivity and cost-effectiveness in mining activities. This work explores the …

Implementing Gaussian process modelling in predictive maintenance of mining machineries

Z Shao, M Kumral - Mining Technology, 2024 - journals.sagepub.com
Mining machinery constitutes essential assets for a mining corporation. Due to economies of
scale, technological innovations and stringent quality and safety requirements, the size …

The Influence of Vibrations Induced by Blasting Works in an Open-Pit Mine and Seismic Events in an Underground Mine on Building Structures—A Case Study

A Sołtys, J Pyra - Applied Sciences, 2024 - mdpi.com
Monitoring induced vibrations caused by blasting works is becoming an increasingly
common form of preventive activity conducted in open-pit mines. Measurement stations also …