Mining Machinery
Mining companies have been finding significant productivity and economic advantages to using such a system, including: reduced vehicle costs for such as fuel, tires, and maintenance; more …
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Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine …
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Developing demand forecasting model of remanufactured parts of mining
Search ScienceDirect. Procedia CIRP. Volume 90, 2020, Pages 85-90. Developing demand forecasting model of remanufactured parts of mining machinery. ... In a maintenance …
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Accident causes data-driven coal and gas outburst
Owing to the different geological and mining conditions, as well as gas occurrence characteristics in different mining areas, the gas gushing laws in the production process of …
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APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS IN
Fig. 3 shows spectrum acceleration and envelope curve of the mine machine affected by a bearing damage. Fig. 4 presents the spectrum harmonics of the sensor signal for …
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Software fault prediction using data mining, machine
Search ScienceDirect. Computers and Electrical Engineering. ... There are data mining, machine learning, and deep learning techniques used for software fault prediction. We …
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Knowledge Discovery: Methods from data mining and machine …
Search ScienceDirect. Social Science Research. Volume 110, February 2023, 102817. ... Because classical statistics is the foundation of data mining and machine learning, …
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Data mining/machine learning methods in foodomics
However, in recent years, 'data mining' and 'machine Final remarks Foodomic studies more and more employ two or more analytical techniques, which involve to …
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Enhancing the government accounting information systems
It utilizes text mining techniques and machine learning algorithms to examine social media information, applies an analytical approach to identify temporal trends and patterns of …
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Mapping changes in artisanal and small-scale mining
Search ScienceDirect. Environmental Challenges. Volume 3, April 2021, 100053. Mapping changes in artisanal and small-scale mining (ASM) landscape using machine and …
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Investigation and modernization of buckets of surface mining machines
In a time when people are searching for solutions that minimize operational costs of surface mining machines [9], [17], [18], [19] and eliminate the likelihood of failures [1], [11], [12], …
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Identifying child abuse through text mining and machine
Machine learning (ML) has recently been applied to a wide range of applications such as mining texts, spam detecting spam, classifying images, and retrieval of multimedia …
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Degradation state mining and identification for railway
Considerable work for railway point machines has been published in the last decade to ensure that defects can be detected in advance. These techniques can be divided into …
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Fuzzy expert analysis of the severity of mining machinery failure
Most of the related research is focused on the reliability of the machine elements. Dhillon and Anude [2] provide a detailed overview of the research on mining machinery …
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Data mining/machine learning methods in foodomics
The data mining term refers to the extraction of meaningful knowledge from useful but non-evident information which is hidden within large datasets while machine learning term …
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Classification of clustered microseismic events in a coal mine …
The capability of machine learning will promote reliable assessment of clustered seismicity for ongoing risk management during mining. As mine conditions and monitoring …
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Accident causes data-driven coal and gas outburst
The purpose of analyzing an accident is to determine its cause and apply it to accident prevention. In the past, the analysis of accidents mostly involved a qualitative …
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Telecontrol for Mining Machinery
Search ScienceDirect. IFAC Proceedings Volumes. Volume 28, Issue 17, August 1995, Pages 21-27. Telecontrol for Mining Machinery ... Full text access. Abstract. It is widely …
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Machine Learning and Process Mining applied to Process
ScienceDirect Available online at Procedia Manufacturing 38 (2019) 84â€"91 2351-9789 © 2019 The Authors. Published by Elsevier B.V. ... Machine …
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Technological advances and trends in the mining industry: a
This paper aims to identify the most used technologies in the mining industry, determine in which mining processes these technologies are applied, assess their positive …
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Required and desired: breakthroughs for future-proofing mineral …
In order to advance autonomous carbon neutral mining processes, the use of battery-electric mining equipment, 5G for optimal connectivity and positioning, autonomous …
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Seismic Features of Vibration Induced by Mining Machines and
Procedia Earth and Planetary Science 3 ( 2011 ) 76 â€" 85 Available online at doi: 10.1016/j.proeps.2011.09.068 2011 Xican International …
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Development of a Hard Rock Continuous Mining Machine
Search ScienceDirect. Advances in Mining Science and Technology. Volume 1, 1987, Pages 119-128. ... Design and Development of a Mobile Mining Machine, in Proc. Rapid …
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Review
The findings will be valuable for determining how well the most recent text mining methods deal with the available sources of unstructured news data. The main goal is to …
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Faradaic deionization technology: Insights from
Faradaic deionization (FDI) is an emerging water treatment technology based on electrodes able to remove ionic species from water by charge transfer r…
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A machine learning approach to understand how
Once promoted by the government, alluvial, informal and illegal, mining activities in MDD have expanded considerably in the past decade, mainly due to the rapid increase of the …
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Transforming mining energy optimization: a review of machine …
These studies introduce machine learning techniques that can be applied to mining-specific applications, such as utilizing HVAC-based energy optimization algorithms to …
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Data-mining and machine learning based search for
Fingerprints are used for training the machine learning models. More than 40 machine learning models are tried, random forest has appeared as a best model (r-squared of …
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Recent advances in data mining and machine learning for …
Previous studies have reviewed the applications of data mining (DM) or machine learning (ML) in building operations. For example, Zhao et al. [19] reviewed the application of …
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Integrating data mining and machine learning to
Search ScienceDirect. Article preview. Abstract; Introduction; Section snippets; References (85) Cited by (121) Acta Materialia. Volume 202, 1 January 2021, Pages 211-221. …
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Vibrational energy transmission in underground continuous mining
Since 1945, the continuous miner has been one of the most widely utilized cutting machines in underground mines [1].It has a cylinder-shaped cutter drum with conical bits …
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Alternative data mining/machine learning methods for
This review presents the principles and advantages of commonly used ML methods, including support vector machine, decision tree, random forest, k-nearest neighbors, extreme …
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Machine learning and data mining frameworks for
Search ScienceDirect. Pharmacology & Therapeutics. Volume 203, November 2019, 107395. ... Herein, we address these critical questions by: i) presenting and discussing …
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Vibration induced fatigue of mining and material
In Fig. 2 a view of the machine described in the article is presented immediately after the occurrence of a failure. At manuscript [16], the author has analyzed the periods in which …
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Review of the Status of Reconfigurable Manufacturing
RMS: Reasons for its application in South Africa Mining Machinery Industries 4.1 Unstable and rapidly changing product demand Change in mineral concentrates demand …
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An Overview of Mining Technology and Equipment
Mining technology and equipment advances have significantly enhanced the operational safety, efficiency, and sustainability of resource extraction. Automation. In mining, automation involves using artificial …
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