Application Of Artificial Intelligence In Coal Mining Industry

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    the use of an unsupervised learning technique for classifying geological features in the roof overlying an underground coal mine is described. the technique uses torque, thrust, drill speed, penetration rate, and drill position data from a roof bolter as inputs for the classification. data were

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    application of robotics can be helpful in mining such deposits. robotics can find application in mining industry in opencast mines as well as underground mines of coal and metaliferrous deposits. this paper thus seeks to highlight some common challenges faced by the mining industry with respect to robotic control.

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    application as alternative to the expert system in the coal mining industry, widely implemented in mining. engineering of artificial intelligence,

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    , vol. 5, no. 2, pp. 121 application of artificial intelligence methods in drilling system design and operations: a review of the state of the art

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