on mathematical model for prediction of cone gold ore
  • Drug–target interaction prediction: databases,

    Drug discovery. Despite many advances in the past decades, drug discovery is still a costly and inefficient process [ 1–3], with costs for each new molecular entity (NME) estimated at $1.8 billion [ 2].Furthermore, new drugs often take nearly a decade to reach market; for instance, only approximately 20 new drugs have been approved by US Food and Drug Administration (FDA) as NMEs each year [ 4].

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  • Using EVT for Geological Anomaly Design and Its

    A geological anomaly is the basis of mineral deposit prediction. Through the study of the knowledge and characteristics of geological anomalies, the category of extreme value theory (EVT) to which a geological anomaly belongs can be determined. Associating the principle of the EVT and ensuring the methods of the shape parameter and scale parameter for the generalized Pareto distribution (GPD

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  • Abstract - AIMS Press - Open Access Journals

    Gold nanoparticles (GNPs) are proven effective heavy-atom radiosensitizers to produce imaging contrast and dose enhancement in radiotherapy. To understand the physical and biological effect of adding GNPs to the tumour cells, Monte Carlo simulation based on particle tracking and transport, is employed to predict the dosimetry in the cellular and DNA scale.

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  • A hybrid neural networks-fuzzy logic-genetic

    Chatterjee S., Bandopadhyay S., Machuca D. Ore grade prediction using a genetic algorithm and clustering based ensemble neural network model. Mathematical Geosciences. 2010; 42 (3):309–326.

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  • Hubbert peak theory - Wikipedia

    The Hubbert peak theory says that for any given geographical area, from an individual oil-producing region to the planet as a whole, the rate of petroleum production tends to follow a bell-shaped curve.It is one of the primary theories on peak oil.. Choosing a particular curve determines a point of maximum production based on discovery rates, production rates and cumulative production.

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  • 18 spectacularly wrong predictions made around

    Most of the 18 predictions were conditioned upon us not making needed changes, e.g. if the increase continues at current levels, if we Don't stop doing this, or if we don"t start doing that.

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  • Statistical methodology and probability | School

    Our work on statistical methods develops new ideas for statistical estimation, inference and quantification of uncertainty. With the increasing importance of modern data science and "big data" problems, this research area studies the difficult theoretical problems underlying this work.

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  • Development and evaluation of a deep learning

    The model consists of two parts: the convolutional and dense parts, with different types of connections between layers (see Fig. 1). Convolution, from which the name 'convolutional' stems, is a mathematical operation that mixes two functions together.

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  • cone crusher | Stone Crusher used for Ore

    The model can be used as a simulation tool to assist in the design of crushers, allowing any arbitrary design of cone crusher to be studied. If a set of simulations is performed for a given crusher, a 'crusher performance map' can be created which can then be used when optimizing a

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  • California Common Core State Standards

    4.Model with mathematics. 5.Use appropriate tools strategically. Modeling and using tools 7. Look for and make use of structure. 8.Look for and express regularity in repeated reasoning. Seeing structure and generalizing The CA CCSSM call for mathematical practices and mathematical content to be connected as students engage in mathematical tasks.

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  • Chapter 31 - 34 Flashcards | Quizlet

    Start studying Chapter 31 - 34. Learn vocabulary, terms, and more with flashcards, games, and other study tools.

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  • Predicting optical coherence tomography-derived

    08-01-2020· Center-involved diabetic macular edema (ci-DME) is a major cause of vision loss. Although the gold standard for diagnosis involves 3D imaging, 2D

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  • Abstract - AIMS Press - Open Access Journals

    Gold nanoparticles (GNPs) are proven effective heavy-atom radiosensitizers to produce imaging contrast and dose enhancement in radiotherapy. To understand the physical and biological effect of adding GNPs to the tumour cells, Monte Carlo simulation based on particle tracking and transport, is employed to predict the dosimetry in the cellular and DNA scale.

    Get Price
  • Statistical methodology and probability | School

    Our work on statistical methods develops new ideas for statistical estimation, inference and quantification of uncertainty. With the increasing importance of modern data science and "big data" problems, this research area studies the difficult theoretical problems underlying this work.

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  • ORE Home

    ORE Open Research Exeter . Advanced Search . Toggle navigation

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  • Using EVT for Geological Anomaly Design and Its

    A geological anomaly is the basis of mineral deposit prediction. Through the study of the knowledge and characteristics of geological anomalies, the category of extreme value theory (EVT) to which a geological anomaly belongs can be determined. Associating the principle of the EVT and ensuring the methods of the shape parameter and scale parameter for the generalized Pareto distribution (GPD

    Get Price
  • Geotechnical Properties of Mine Tailings | Journal

    The model prediction varies dramatically with the change in θ, and therefore different θ values were examined to identify the optimal model predictions. The development of pore water pressure under 200 kPa during CTX tests was almost the same for the two coarse tailings, and the model prediction from Seed et al. ( 1975 ) with θ of 0.9 matched well with the test results of the two coarse

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  • Mining - Wikipedia

    Mining is the extraction of valuable minerals or other geological materials from the Earth, usually from an ore body, lode, vein, seam, reef or placer deposit.These deposits form a mineralized package that is of economic interest to the miner. Ores recovered by mining include metals, coal, oil shale, gemstones, limestone, chalk, dimension stone, rock salt, potash, gravel, and clay.

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  • Statistical methodology and probability | School of

    Our work on statistical methods develops new ideas for statistical estimation, inference and quantification of uncertainty. With the increasing importance of modern data science and "big data" problems, this research area studies the difficult theoretical problems underlying this work.

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  • Suggested topics for new research proposals

    prediction models improving the initial condition in models (mathematical and statistical modeling techniques) Suggested topics for research proposals 4 Heat flux distribution in the vicinity of protrusions on the cone cylinder body under varying mach number and Reynolds number 15.

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