WEBA coal mine mantrip at Lackawanna Coal Mine in Scranton, ... Technical and economic feasibility are evaluated based on the following: regional geological conditions; overburden characteristics; ... It is a sophistied machine with a rotating drum that moves mechanically back and forth across a wide coal seam. The loosened coal falls onto an ...
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WEBTherefore, this manuscript proposes a new identifiion method of surface cracks from UAV images based on machine learning in coal mining areas. First, the acquired UAV image is cut into small subimages, and divided into four datasets according to the characteristics of background information: Bright Ground, Dark Dround, Withered .
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WEBDOI: / Corpus ID: ; Coal structure identifiion based on geophysical logging data: Insights from Wavelet Transform (WT) and Particle Swarm Optimization Support Vector Machine (PSOSVM) algorithms
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WEBKeeping in mind the various problems related to gas leakage causing accidents in the coal mine, this paper depicts coal monitoring system using wireless sensor networks and IoT, which can monitor the various gas and temperature parameters and take action with the help of multimodal logistic regression algorithm applied on the real time collected data .
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WEBMay 1, 2013 · A neural network prediction method based on an improved SMOTE algorithm expanding a small sample dataset and optimizing a deep confidence network was proposed, which can be used to better predict and analyze coal mine water inrush accidents, improve the accuracy of water in rush accident prediction, and encourage the .
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WEBMay 4, 2023 · Spontaneous combustion of coal leading to mine fire is a major problem in most of the coal mining countries in the world. It causes major loss to the Indian economy. The liability of coal to spontaneous combustion varies from place to place and mainly depends on the coal intrinsic properties and other geomining factors. Hence, the .
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WEBMay 1, 2023 · 1. Introduction. Metal, as a limited natural resource, is an essential material for global economic development (Sykes et al., 2016).For example, Al and Fe have been widely used in building construction and machinery manufacturing (Soo et al., 2019), V is an important metallic material used in the production of ferrous and nonferrous alloys (Gao .
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WEBSep 1, 2023 · Based on reverse engineering, this paper discusses the process of localization and development of imported coal machine reducers and focuses on the five steps from the reducer design stage.
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WEBMar 10, 2017 · Gross calorific value (GCV) is one the most important coal combustion parameters for power plants. Modeling of GCV based on coal properties could be a key for estimating the amount of coal consumption in the combustion system of various plants. In this study, support vector regression (SVR) as a powerful prediction method has been .
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WEBDec 21, 2021 · A coal gangue recognition method based on improved Support Vector Machine is proposed in this paper, and the experimental results show that the accuracy is %. In the process of coal mining, the separation of coal and gangue is a very important step. Traditional coal preparation methods include manual coal preparation, .
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WEBDOI: / Corpus ID: ; Maceral groups analysis of coal based on semantic segmentation of photomicrographs via the improved Unet article{Lei2021MaceralGA, title={Maceral groups analysis of coal based on semantic segmentation of photomicrographs via the improved Unet}, author={Meng Lei and Rao .
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WEBJan 30, 2014 · This paper presents a new online coal identifiion system based on support vector machine (SVM) to achieve online coal identifiion under variable combustion conditions.
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WEBDOI: / Corpus ID: ; Experimental analysis of vibratory screener efficiency based on density variation for screening coal and iron ore article{Shanmugam2023ExperimentalAO, title={Experimental analysis of vibratory screener efficiency based on density variation for screening coal and iron ore}, .
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WEBDec 8, 2023 · Liu et al. realized the approximate analysis of coal based on laserinduced breakdown spectra by combining principal component regression, artificial neural network, and PCAANN models. All of the above methods are used to deal with highdimensional spectral data using machine learning, but the direct use of machine learning algorithms .
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WEBDOI: / Corpus ID: ; The appliion of machine learning models based on particles characteristics during coal slime flotation article{Zhao2021TheAO, title={The appliion of machine learning models based on particles characteristics during coal slime flotation}, author={Binglong Zhao and .
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WEBJan 1, 2007 · The support vector machines (SVM) model with multiinput and single output was proposed. Compared the predictor based on RBF neural networks with test datasets, the results show that the SVM ...
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WEBSep 1, 2021 · The workflow combines physicsbased simulation, laboratory experiments, and a datadriven machine learning approach for estimating the permeability profile. As part of this workflow, several coal specimens from the study coal seam are first tested under different stresses to measure their permeability, density, and ultrasonic responses.
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WEBNov 1, 2021 · In this study, we developed an automatic Ppick quality control model based on machine learning to identify useable/unusable Ppicks. ... Pd, and As in bulk metallurgical or coalbased solid waste greatly surpasses the standard levels. Nevertheless, by mixing such waste within the coal mine backfill materials, the resulting .
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WEBMar 1, 2024 · The above literature is based on gas analysis methods and deploys machine learning to predict coal spontaneous combustion temperature, achieving basically the goal of predicting coal temperature. However, detailed analysis of gas reactions in various stages of coal heating is limited through the literature, resulting in insufficient information ...
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WEBA coal mine mantrip at Lackawanna Coal Mine in Scranton, Pennsylvania Coal miners exiting a winder cage at a mine near Richlands, ia in 1974 Surface coal mining in Wyoming, A coal mine in Frameries, Belgium. Coal mining is the process of extracting coal from the ground or from a mine. Coal is valued for its energy content and .
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WEBMine work face gas emission quantity is an important mine design basis, which also has important practical significance for guide mine design, ventilation and safety production. Mine gas emission quantity and work face multi factors have complex nonlinear relationship. The paper built the work face gas emission prediction support vector .
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A material supplier from Belgium would like to produce limestone powder for his custome...
India is rich in various mineral resources and it is an important mineral processing market
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