Sentence examples for mining system in from inspiring English sources

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Bord and pillar is also known as room and pillar mining system in which the mined material is extracted across a horizontal plane while leaving "pillars" of untouched material to support the overburden leaving open areas or "rooms" underground.

Open image in new window Fig. 6 Auger mining system in Indonesia.

Fully mechanized caving face (FMCF) serves as an important part of underground mining system in coal mines.

This paper describes the characteristics of the highwall mining system and discusses the appropriate highwall mining system in Indonesia including the application of the backfilling system to improve the stability of excavated highwall.

Ren and van der Schaar [25] have employed the cloud-based stream mining system in the mobile devices for sending unclassified media streams to the cloud for classification via wireless links.

Therefore, the main objective of the mining LCA model presented in this paper was to develop a tool that is able to represent the mining system in a comprehensive way.

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The BioCreative (Critical Assessment of Information Extraction Systems in Biology) challenge is a community-wide effort to build an evaluation framework for assessing text mining systems in biological domains [5].

Land subsidence has created major ecological problems in China because 90% of the coal is mined from underground mining using high extraction longwall mining systems, in contrast to several other large producers of coal around the globe (USA, India, and Australia) who produce a significant amount of their coal production using surface mining methods (BP Statistics).

Due to the physical separation among data sources and computational resources, it is often necessary to deploy such stream mining systems in a distributed fashion, where local learners have access to disjoint subsets of the data that is to be mined, and forward their intermediate results to an ensemble learner that combines the results from the local learners.

Twenty teams were selected by the Organizing Committee to participate at the workshop, contributing seven text mining systems in Track I, seven database workflows in Track II and six text mining systems in Track III.

Contact: [email protected] The focus of text mining systems in biomedicine has recently shifted from extracting named entities of biological relevance to recognizing relations and events.

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