li ne mining application

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  Development and applications of rescue robots for explosion accidents ...

  2019116 · Abstract It is essential to provide disaster relief assistance after coal mine explosions. Often, it is life-threatening for rescuers to enter an accident scene blindly; therefore, a coal mine rescue robot (CMRR) has been developed. However, the application of the CMRR has not proven satisfactory after decades of development. To solve this …

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  Applications of artificial intelligence for coal mine gas risk ...

  2021111 · In order to make up for this gap of existing research, this paper presents a novel study which combines several artificial intelligence techniques such as t-distributed Stochastic Neighbor Embedding (t-SNE), Genetic Algorithm (GA) and Support Vector Machine (SVM) to realize coal mine gas risk assessment.

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  Intelligent Mining Technology for an …

  The automatic positioning of underground mobile applications plays a crucial role in enabling intelligent coal mining. However, due to the diverse kinematics and dynamics of these applications, various positioning methods have been proposed to match different targets. Nonetheless, the accuracy and a …

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  Minerals Commission Official Website - Minerals Commission

  Mining Cadastre The implementation of Mining Cadastre Administration System (MCAS) at the Minerals Commission seeks to improve and strengthen current levels of compliance checks and license administration procedures and practices.

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  Data Mining for Targeted Marketing | SpringerLink

  Abstract. Targeted marketing is a new business model of interactive one-to-one communication between marketer and customer. There is great potential for data mining to make useful contributions to the marketing discipline for business intelligence. This chapter provides an overview of the recent development in data mining applications for ...

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  Processes | Free Full-Text | A Review of Data Mining Applications …

  202126 · The obtained articles were classified accordingly to areas of application. Five major areas for data mining applications in semiconductor manufacturing emerged: quality control, maintenance, production, decision support systems, and finally, categorized as a whole, measurement, metrology, and instrumentation.

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  Development and Evaluation of a UWB-Based Indoor …

  202377 · Accurate positioning information is a central step in the process of increasing automation and digitalization in the mining industry. Underground mine environments are prime examples for GNSS-denied environments that pose several additional challenges for the employed indoor positioning system (IPS). This work …

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  Deep learning implementations in mining applications: a …

  2023511 · Deep learning has been implemented to solve a variety of problems related to mine exploration, ore and metal extraction and reclamation processes. The increased automation adoption in mining provides an avenue for wider application of deep learning as an element within a mine automation framework.

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  Machine learning applications in minerals processing: A review

  201931 · • Machine learning applications in mineral processing from 2004 to 2018 are reviewed. • Data-based modelling; fault detection and diagnosis; and machine vision identified as main application categories. • Future directions are proposed, including comments on technical research requirements and industrial application. • Searchable …

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