Abstract: Four machine learning algorithms (artificial neural networks, a naive Bayes' classifier, a support vector machines and decision trees) wwere applied for a single pump station mine to monitor and predict the dam levels and energy consumption
The deep-level mining industry is experiencing narrowing profit margins due to increasing operating ...
Poor electricity generation in Nigeria is a very serious problem. Accurate prediction of water level...
In this work advanced data mining techniques are used to build models that predict machinery operati...
Abstract: Four machine learning algorithms (artificial neural networks, a naive Bayes' classifier, a...
D.Ing. (Electrical and Electronic Engineering)The electricity shortage in South Africa has required ...
Abstract: In this paper a comparison between two single classifier methods (support vector machine, ...
The mining industry’s increased energy consumption has resulted in a slew of climate-related effects...
The operations of a mine revolve around the budget, which describes the concept of cost of operation...
Methane, which is released during mining exploitation, represents a serious threat to this process. ...
Abstract: In this paper six single classifiers (support vector machine, artificial neural network, n...
Digitization in the mining industry and machine learning applications have improved the production b...
The evolving character of the environment makes it challenging to predict water levels in advance. D...
Mining industry consumes a significant amount of energy and makes greenhouse gas emissions in variou...
Failures of dams cause immense property and environmental damages and take thousands of lives. As su...
One of the critical aspects in the mining sector is energy, being of great importance for the operat...
The deep-level mining industry is experiencing narrowing profit margins due to increasing operating ...
Poor electricity generation in Nigeria is a very serious problem. Accurate prediction of water level...
In this work advanced data mining techniques are used to build models that predict machinery operati...
Abstract: Four machine learning algorithms (artificial neural networks, a naive Bayes' classifier, a...
D.Ing. (Electrical and Electronic Engineering)The electricity shortage in South Africa has required ...
Abstract: In this paper a comparison between two single classifier methods (support vector machine, ...
The mining industry’s increased energy consumption has resulted in a slew of climate-related effects...
The operations of a mine revolve around the budget, which describes the concept of cost of operation...
Methane, which is released during mining exploitation, represents a serious threat to this process. ...
Abstract: In this paper six single classifiers (support vector machine, artificial neural network, n...
Digitization in the mining industry and machine learning applications have improved the production b...
The evolving character of the environment makes it challenging to predict water levels in advance. D...
Mining industry consumes a significant amount of energy and makes greenhouse gas emissions in variou...
Failures of dams cause immense property and environmental damages and take thousands of lives. As su...
One of the critical aspects in the mining sector is energy, being of great importance for the operat...
The deep-level mining industry is experiencing narrowing profit margins due to increasing operating ...
Poor electricity generation in Nigeria is a very serious problem. Accurate prediction of water level...
In this work advanced data mining techniques are used to build models that predict machinery operati...
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