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Using LSTM and ARIMA to Simulate and Predict Limestone Price Variations "Mining, Metallurgy & Exploration (2021)"By Mei Long, Tawum Juvert Mbah, Jianhua Zhang, Haiwang Ye
There have been many improvements and advancements in the application of neural networks in the mining industry. In this study, two advanced deep learning neural networks called recurrent neural netwo
Jan 6, 2021
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FMC’s Westvaco soda ash operation uses a variety of mining techniquesBy Lawrence Neal Post
Introduction Synthetic soda ash production began to decline in the late 1930s. This was due to high operating costs and waste disposal problems. Since soda ash was used as a major component in manufa
Jan 10, 1985
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Surface Mining Of Industrial Minerals A Positive Approach To Land ReclamationBy Frank C. Appleyard
As the environmental movement gained force during the past few years, it was inevitable that attention would be focused on surface mining, and we have seen this method of extracting minerals from the
Jan 1, 1974
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Pits And Working Faces In IranBy Oscar M. Wicken
Iran was a lodestone for the attention of industrial countries and companies wanting to share in its industrial development during the last two decades and particularly after 1972. Prior to 1972, most
Jan 1, 1981
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The effect of particles on surface tension and flotation froth stabilityIt is widely accepted that particles stabilize flotation froths and that stable froths result in improved flotation performance. Predicting the effect of particle addition on froth stability is, howev
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New approach on the development of operational fleet management systems using adaptative Al techniques: Analysis of adaptative goal weightsBy Kadri Dagdelen, Lee J. Zamalloa
Truck-shovel dispatch systems based on linear or nonlinear programming algorithms have been in operation since the mid-1980s, with different levels of success depending on the correct arrangement of o
Apr 1, 2025
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Teaching New Employees About Processing Equipment: What is That and How Does it Work?By M. Albrecht
In the mining industry and particularly in the processing plants, we use some large and unusual equipment. Understanding what it is and what it does is important to good operations, but how do you t
Feb 23, 2014
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A Review of the Modified Zincex® Process From Skorpion to HorseheadBy M. S. Moats
In the 1990?s, Técnicas Reunidas developed the Modified ZINCEX® Process to recover zinc from ores and secondary materials. The heart of this process was the use of solvent extraction to produce purif
Feb 23, 2014
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Cryogenic Air Supply for Cooling Built-in-Place Refuge Alternatives in Hot MinesBy L. Yan, N. Damiano, J. Bickson, E. Bauer, D. Yantek, B. Whisner, M. Reyes, J. Srednicki
Built-in-place (BIP) refuge alternatives (RAs) are designed to provide a secure space for miners who cannot escape during a mine emergency. Heat and humidity buildup within RAs may expose miners to ph
Jan 1, 2019
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Mine Planning Considerations In Analyzing Alternative Materials Handling Systems For Surface MinesBy James E. Lonergan
To determine the best materials handling system for surface mined materials, one must develop a mine plan for each candidate system based on the most efficient use of that system. This is essential fo
Jan 1, 1985
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Integrated Mine Ventilation Management SystemsBy Eric Leung, Stephen G. Hardcastle, Andrew Dasys
In today's economic environment, Canadian mines can ill afford to neglect their ventilation systems as they can consume 30- 40% of the electricity used in underground mines. In addition, Canadian
Jan 1, 1997
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Underground Coal Mining in ChinaBy Wang Ding-heng, Wang Zhi-yuan, Nolan B. Aughenbaugh
The People's Republic of China has abundant coal resources with proven reserves amounting to 582 Gt (641 billion st). Recognizing coal as a major energy source on which to build the country'
Jan 3, 1983
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Interactions And Limitations Of Primary Dust Controls On Continuous Miners For Reducing Quartz And Coal Dust ConcentrationsBy J. J. McClellenand, R. A. Jankowski
Face ventilation and water sprays are the primary controls used on continuous miner sections to protect workers from respirable coal and silica (quartz) dust. Laboratory tests were conducted by the U.
Jan 1, 1991
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Mining Of Magnetite & Martite At Benson MineBy A. F. Peterson
There is no single mining problem at Benson that does not exist at some other mine. There are four, however, that require special attention primarily because they occur together and have an influence
Jan 1, 1958
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Moisture Variance of Mine Dust Samples and The Inclusion of Moisture as Incombustible Content (e32de7c9-cacb-42d5-bd60-fe2a8dc5bdd4)By M. L. Harris
Coal dust produced during the mining process is a prime explosion hazard in underground coal mines. To inert the coal dust and prevent a catastrophic propagating dust explosion, rock dust is applied t
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Service Variables In Uranium Disequilibrium Studies (9ab69d91-20d8-4ff5-97b0-1da94910fa75)By M. Rossi
The use of service variables in geostatistics (grade-thickness) is common in industry when developing block grade models and geologic resource estimates. This is particularly true in the case of sedim
Jan 1, 1991
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Radiation Dose Estimates From A Mining Plan For A High-Grade Uranium DepositBy L. Max Scott
[INTRODUCTION] The significance of gamma exposure to uranium miners has been recognized only in the last few years. Most ore deposits which have been underground mined, were 1% or less U308. Full-t
Jan 1, 1981
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University/Industry Partnerships An Idea That Can Work In MiningBy Howard L. Hartman
Introduction The federal government's declining role in funding research has created a critical dollar gap for university departments of mining engineering. Industry, too, is affected by the dro
Jan 9, 1984
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Desulfurization And De-Ashing Of A Mixture Of Subbituminous Coal And Gangue Minerals By Selective Oil AgglomerationBy F. D. Ayhan
The aim of this study was to investigate desulfurization and de-ashing of a mixture of subbituminous coal and gangue minerals by the agglomeration method. For this purpose, experimental studies were c
Jan 1, 2009
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Decision Support System for the Prediction of Mine Fire Levels in Underground Coal Mining Using Machine Learning ApproachesBy Muhammad Kamran, NIAZ MUHAMMAD SHAHANI
This study elucidates a new idea to predict mine fire levels by employing several machine learning techniques. A total of 120 patterns of various mine fire influencing parameters, such as oxygen, nitr
Feb 14, 2022