Optimization of haulage-truck system performance for ore production in open-pit mines using big data and machine learning-based methods
Ore haulage systems are considered critical when evaluating the efficiency of the investment
and design of open-pit mines. Smart mines are also adopted to increase mine production …
and design of open-pit mines. Smart mines are also adopted to increase mine production …
Estimating ore production in open-pit mines using various machine learning algorithms based on a truck-haulage system and support of internet of things
This study aimed to develop and assess the feasibility of different machine learning
algorithms for predicting ore production in open-pit mines based on a truck-haulage system …
algorithms for predicting ore production in open-pit mines based on a truck-haulage system …
Deep neural network for predicting ore production by truck-haulage systems in open-pit mines
This paper proposes a deep neural network (DNN)-based method for predicting ore
production by truck-haulage systems in open-pit mines. The proposed method utilizes two …
production by truck-haulage systems in open-pit mines. The proposed method utilizes two …
Deep neural network for ore production and crusher utilization prediction of truck haulage system in underground mine
A new method using a deep neural network (DNN) model is proposed to predict the ore
production and crusher utilization of a truck haulage system in an underground mine. An …
production and crusher utilization of a truck haulage system in an underground mine. An …
Weighted ensembles of artificial neural networks based on Gaussian mixture modeling for truck productivity prediction at open-pit mines
The truck haulage data from open-pit mine sites are usually massive and multidimensional
with multi-peak Gaussian distributions. Artificial neural networks (ANNs) are well-known …
with multi-peak Gaussian distributions. Artificial neural networks (ANNs) are well-known …
Prediction of ore production in a limestone underground mine by combining machine learning and discrete event simulation techniques
This study proposes a novel approach for enhancing the productivity of mining haulage
systems by developing a hybrid model that combines machine learning (ML) and discrete …
systems by developing a hybrid model that combines machine learning (ML) and discrete …
[HTML][HTML] Using deep neural networks coupled with principal component analysis for ore production forecasting at open-pit mines
Ore production is usually affected by multiple influencing inputs at open-pit mines.
Nevertheless, the complex nonlinear relationships between these inputs and ore production …
Nevertheless, the complex nonlinear relationships between these inputs and ore production …
A two-phase simulation-based optimization of hauling system in open-pit mine
M Abolghasemian, A Ghane Kanafi… - … Journal of Management …, 2020 - ijms.ut.ac.ir
One of the key issues in mining is the hauling system. Truck and shovels are the most widely
used transportation equipment in mines. In this paper, a two-phase simulation-based …
used transportation equipment in mines. In this paper, a two-phase simulation-based …
Diagnosis of problems in truck ore transport operations in underground mines using various machine learning models and data collected by internet of things systems
This study proposes a method for diagnosing problems in truck ore transport operations in
underground mines using four machine learning models (ie, Gaussian naïve Bayes (GNB), k …
underground mines using four machine learning models (ie, Gaussian naïve Bayes (GNB), k …
Prediction of truck productivity at mine sites using tree-based ensemble models combined with Gaussian mixture modelling
In the past decade, machine learning (ML) algorithms have been widely applied to build
prediction models for various mining applications. However, no research has been reported …
prediction models for various mining applications. However, no research has been reported …