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This paper describes a data mining environment for knowledge discovery in bioinformatics applications.
Underground coal mines have always had to control the presence of different gases in the mining environment.
Discussion in this paper is focused on the application of AI methods in the analysis of safety in mining environment.
These variants were evaluated using a scan matching exercise requiring construction of terrain maps based on data from a mobile sensing platform in an open-cut mining environment.
A three-dimensional (3-D) HAB solid model has been visualized in an oil sands mining environment.
The article describes the design of hardware and software system, designed to increase safety in the mining environment.
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However, characterisation of complex and heterogeneous rock masses that typify mining environments is difficult.
The results of this investigation provide technical information for the designing of cost-effective, safe and durable CPB structures in sub-zero mining environments.
The support is targeted for tailgate applications, however, it can also be utilized for roof support in various types of mining environments.
This enables the particle simulation method to be used as a potential tool for the design of an automatic mining machine, which can be used as a new mining technology in some particular mining environments.
Key issues of this component will be the open architecture, allowing extensions and adaptations to specific mining environments, and the precise semantics and syntax, allowing an optimal integration between the presentation and the computation.
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