Relevant bibliographies by topics / Classification of deposit resources

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Classification of deposit resources'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Classification of deposit resources"

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Bowell, Robert J., Laura Lagos, Camilo R. de los Hoyos, and Julien Declercq. "Classification and Characteristics of Natural Lithium Resources." Elements 16, no. 4 (2020): 259–64. http://dx.doi.org/10.2138/gselements.16.4.259.

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There are three broad types of economic lithium deposit: 1) peralkaline and peraluminous pegmatite deposits and their associated metasomatic rocks; 2) Li-rich hectorite clays derived from volcanic deposits; 3) salar evaporites and geothermal deposits. Spodumene-bearing pegmatites are the most important and easily exploitable Li deposits, typically containing 0.5 Mt Li. Salar deposits hold the largest Li reserves, can reach up to 7 Mt Li, but are more difficult to exploit. Allowing for recycling, the current predicted demand up to the year 2100 is 20 Mt Li; world resources are currently estimat
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Tkachev, A. V., D. V. Rundqvist, and N. A. Vishnevskaya. "Global metallogeny of tantalum through geological time." Геология рудных месторождений 61, no. 6 (2019): 19–37. http://dx.doi.org/10.31857/s0016-777061619-37.

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The distribution of tantalum-bearing mineral deposits and their tantalum resources are analyzed on the geological time scale. The sampling list includes 65 mineral deposits with their individual resource estimations above two thousand tonnes of Ta2О5. The used classification of the deposits includes five types: pegmatitic, granitic, alkaligranitic, foidic, and carbonatitic ones. Placers and ore-bearing weathering crusts are considered together with their endogenous hard ore sources. The geohistorical variability in tantalum metallogeny is presented through a comparison of supercontinent cycles
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Tsoberg, N., E. Odnokonnova, N. Zimanovskaya, and A. Amrenova. "INTEGRATION OF THE KAZAKHSTAN PUBLIC REPORTING CODE KAZRC FOR ASSESSING THE RESOURCES OF GOLD DEPOSITS OF THE AKKARGINSKY ORE FIELD." BULLETIN of D. Serikbayev EKTU 4 (December 10, 2024): 92–102. https://doi.org/10.51885/1561-4212_2024_4_92.

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The presented article covers the issues of transition of geological reporting from GKZ standards to international KAZRC standards, in relation to gold reserves of deposits of the Akkarga ore field. The fundamental differences in calculating reserves using the old and new systems, introduced from 2024, are considered. When carrying out the study, a brief description of the deposit, the methodology of the geological exploration work, and the technology of mining and processing of ores for rapid and visual data analysis were considered. A classification of ore reserves was given according to the
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Melnychuk, Yuliia, Oksana Shkolenko, Tetiana Kharchuk, and V. Melnik. "ATTRACTING DEPOSIT FLOWS AS THE MAIN RESOURCE OF INVESTMENTS IN THE COUNTRY'S ECONOMY DURING THE COVID-19 PANDEMIC." Financial and credit activity problems of theory and practice 2, no. 43 (2022): 8–16. http://dx.doi.org/10.55643/fcaptp.2.43.2022.3560.

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The article on "Attracting deposit flows as the main resource of investment in the economy during the Covid-19 pandemic" is devoted to finding methods and ways to stabilize the financial condition of the bank during the crisis, namely by attracting deposit flows, which is the main investment resource. The purpose of the study is to develop recommendations for the introduction of deposit flows as the main resource for investment in the economy during the pandemic Covid-19.
 The study of the formation of the bank's deposit policy revealed the main reasons for banks to attract funds from ind
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Afzal, Peyman, Hamid Gholami, Nasser Madani, Amir Bijan Yasrebi, and Behnam Sadeghi. "Mineral Resource Classification Using Geostatistical and Fractal Simulation in the Masjed Daghi Cu–Mo Porphyry Deposit, NW Iran." Minerals 13, no. 3 (2023): 370. http://dx.doi.org/10.3390/min13030370.

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Mineral resource classification is an important step in mineral exploration and mining engineering. In this study, copper and molybdenum resources were classified using a combination of the Turning Bands Simulation (TBSIM) and the Concentration–Volume (C–V) fractal model based on the Conditional Coefficient of Variation (CCV) for Cu realizations in the Masjed Daghi porphyry deposit, NW Iran. In this research, 100 scenarios for the local variability of copper were correspondingly simulated using the TBSIM and the CCVs were calculated for each realization. Furthermore, various populations for th
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Pratama, A. B., H. B. Pratama, and A. A. Ma’fu. "Spreadsheets for Geothermal Resource Classification Based on United Nation Framework Classification (UNFC) and Jailolo Geothermal Field Case Study." IOP Conference Series: Earth and Environmental Science 1437, no. 1 (2024): 012021. https://doi.org/10.1088/1755-1315/1437/1/012021.

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Abstract The United Nations Framework Classification (UNFC) is a resource classification method developed by the United Nations Economic Commission for Europe (UNECE) in collaboration with the International Geothermal Association (IGA). UNFC assesses and classifies geothermal resources based on three aspects: socio-economic factors, project feasibility, and geological knowledge. This uniformity in resource classification, assessment, and comparison is significant for global communication regarding geothermal resources. Implementing UNFC in Indonesia will impact the development and financing of
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Fostyak, V., Ya Tanchak, V. Druhova, I. Alieksieiev, and М. Bondarchuk. "DEPOSIT POLICY OF BANKS OF UKRAINE IN CONDITIONS OF COVID-2019 PANDEMIC." Financial and credit activity: problems of theory and practice 3, no. 38 (2021): 15–24. http://dx.doi.org/10.18371/fcaptp.v3i38.237415.

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Abstract. The pandemic COVID-2019 has been an unexpected challenge for the economies of many countries. In order to avoid the rapid spread of the disease, the governments of most countries imposed quarantine, forcibly closed borders, imposed restrictions on the movement of the population, and so on. Obviously, this provoked instability in financial markets, sharp fluctuations in national exchange rates and worsened the economic expectations of the population.
 In the scientific article, the authors conducted a study of the deposit policy of Ukrainian banks in this economic instability, wh
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Silva, André Carlos, Gerson Romano dos Santos Junior, Alexandre Magno Rocha da Rocha, Germano Melo Junior, Julio César Pontes, and Elenice Maria Schons Silva. "Classification of rare earths mineral resources using the Jequié/BA complex rock weathering chemical index." Concilium 24, no. 11 (2024): 15–29. http://dx.doi.org/10.53660/clm-3493-24j12.

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The most common economic mineral deposits of Rare Earths are associated to magmatic calc-alkaline to alkaline rocks and their products. This work presents data from drilling carried out in rocks of the Jequié/BA Complex, mineralized in rare earths, which were subjected to an intense weathering process, similar to what occurred in the Ion Adsorption Clays deposits in southern China. The interpretation of the survey data allowed the classification of rare earths mineral resources with similar, sometimes higher, levels than those of Chinese deposits, contained in the lateritic regolithic profile
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Mulyk, Tetiana. "Analysis of Bank Deposit Operations: Condition, Problems and Improvements." Modern Economics 28, no. 1 (2021): 75–84. http://dx.doi.org/10.31521/modecon.v28(2021)-11.

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Abstract. Introduction. The determining share of bank resources is formed in the process of implementation of deposit operations, the productivity of which depends on the stability, sufficiency and liquidity of banks. They need to systematically maintain proper customer service, use the latest deposit products and investment requirements to expand their customer base. That is why the assessment of the bank's deposit operations, identifying their problems and areas for improvement is very important. Purpose. The purpose of the article is to study the state of deposit operations of domestic bank
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Li, Peiyu, Qingjie Gong, Shaoyu Chen, et al. "Regional Geochemical Characteristics of Lithium in the Mufushan Area, South China." Applied Sciences 14, no. 5 (2024): 1978. http://dx.doi.org/10.3390/app14051978.

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With the explosive growth in demand for lithium (Li) resources, the Mufushan area has been a hotspot for Li deposit exploration in China in recent years. Geochemical maps and geochemical anomaly maps are basic maps in the geochemical exploration of mineral resources. A fixed-value method to contour a Li geochemical map is presented here, in which Li concentrations are divided into 19 levels on 18 fixed values, ranging from 5 μg/g (corresponding to the detection limit) to 1858 μg/g (corresponding to the cut-off grade of Li deposit in hard-rock type) and illustrated in six color tones correspond
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Dissertations / Theses on the topic "Classification of deposit resources"

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Ашурбєкова, А. А. "Оцінка класифікаційних ознак депозитних ресурсів банку". Thesis, Національний університет державної податкової служби України, 2011. http://essuir.sumdu.edu.ua/handle/123456789/63301.

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Розглянуто сутність залучених ресурсів банку з депозитних джерел як складову частину банківських ресурсів та розроблено їх комплексну класифікацію шляхом визначення найбільш вагомих показників.<br>The essence of borrowed resources from deposit bank sources as part of bank resources and developed their complex classification by identifying the most important indicators.
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McIver, Donald A. "Epithermal precious metal deposits physicochemical constraints, classification characteristics and exploration guidelines." Thesis, Rhodes University, 1997. http://hdl.handle.net/10962/d1005553.

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Epithermal deposits include a broad range of precious metal, base metal, mercury, and stibnite deposits. These deposits exhibit a low temperature of formation (180-280°C) at pressures of less than a few hundred bars (equivalent to depths of 1.5 - 2.0lkm). Epithermal gold deposits are the product of large-scale hydrothermal systems which mostly occur in convergent plate margin settings. Associated volcanism is largely of andesitic arc (calcalkaline to alkaline), or rhyolitic back-arc type. Porphyry Cu-Mo-Au deposits form deeper in the same systems. Genetic processes within individual deposits t
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Нагай, Т. "Складові системи управління формуванням банком ресурсів з депозитних джерел". Thesis, Бял ГРАД-БГ, 2014. http://essuir.sumdu.edu.ua/handle/123456789/59342.

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В даній статті визначено складові системи управління формуванням банком ресурсів з депозитних джерел<br>The author identified the components of the system management resources for banks from deposit sources in this paper.
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Zarndt, Frederick, Dorothy Carner, and Edward McCain. "Born Digital Legal Deposit Policies and Practices." Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden, 2017. https://slub.qucosa.de/id/qucosa%3A16443.

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In 2014, the authors surveyed the born digital content legal deposit policies and practices in 17 different countries and presented the results of the survey at the 2015 International News Media Conference hosted by the National Library of Sweden in Stockholm, Sweden, April 15-16, 2015.2 Three years later, the authors expanded their team and updated the survey in order to assess progress in creating or improving national policies and in implementing practices for preserving born digital content. The 2017 survey reach has been broadened to include countries that did not participate in the 2014
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Drysdale, Karen. "Geochemistry of a buried marine mine tailings deposit, Howe Sound, British Columbia." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28982.

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One hundred surface sediment samples and two 30 cm cores were collected from Howe Sound, British Columbia, a deep (≈280 m) fjord with a restricted inner basin into which mine tailings had been dumped for 75 years. The abundances of major elements Si, Al, Ti, Fe, Mg, Ca, Na, K, C, N, and P, and minor elements Ba, Co, Cr, Cu, Mn, Ni, Pb, Rb, Sr, V, Y, Zn, and Zr were determined as well as nutrient and trace metal concentrations in porewater from the two cores. The solid-phase data suggest that the inner basin sediments are dominated by Squamish River-derived feldspars, while the outer basin is
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Anderson, Eric D. "Aeromagnetic signature of the geology and mineral resources near the pebble porphyry cu-au-mo deposit, southwest Alaska." Thesis, Colorado School of Mines, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3602616.

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<p> Aeromagnetic data are used to better understand the geology and mineral resources near the Late Cretaceous Pebble porphyry Cu-Au-Mo deposit in southwestern Alaska. The reduced-to-pole (RTP) transformation of regional-scale aeromagnetic data show that the Pebble deposit is within a cluster of magnetic anomaly highs. Similar to Pebble, the Iliamna, Kijik, and Neacola porphyry copper occurrences are in magnetic highs that trend northeast along the crustal-scale Lake Clark fault. A high-amplitude, short- to moderate-wavelength anomaly is centered over the Kemuk occurrence, an Alaska-type ultr
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Assane, Ali Ossufo. "Distribution of heavy minerals sand in Namalope deposit, Moma district, Mozambique." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1012169.

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The spatial distribution of heavy minerals along the mine paths 2014 and 2015 at the wet concentrate plant B shows an increase of heavy minerals sand concentration northwards and slime contents southwards, and it is commonly associated with depth and grain sorting; the increase of heavy minerals concentration with depth is considered to be from the surface formed by Unit 6 to the bottom of Unit 7. The Unit 82 is characterized by low heavy minerals concentrations and high slime contents declining northwards. The mineral proportion estimation suggests that ilmenite is the most abundant heavy min
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Rossouw, Deon. "A technical risk evaluation of the Kantienpan volcanic hosted massive sulphide (VHMS) deposit and its financial viability." Pretoria : [s.n.], 2003. http://upetd.up.ac.za/thesis/available/etd-08132008-094204/.

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McDonald, Bruce Walter Robert. "Geology and genesis of the Mount Skukum tertiary epithermal gold-silver vein deposit, southwestern Yukon Territory (NTS 105D SW)." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26448.

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The Tertiary Mt. Skukum gold - silver epithermal vein deposit occurs 65 km southwest of Whitehorse in the Yukon Territory. Veins are hosted by a sequence of nearly flat-lying Eocene Skukum Group andesitic volcanic rocks of the Mt. Skukum Volcanic Complex, part of the Sloko Volcanic Province which unconformably overlies these intrusive complexes as well as metamorphic rocks of the Yukon Group. Major known mineralized zones occur within a regional halo of propylitic alteration centered on a fault-bounded graben within Main Cirque in the southwestern corner of the Mt. Skukum Volcanic Complex. Ea
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Jenkins, Charlotte. "Automatic classification and metadata generation for world-wide web resources." Thesis, University of Wolverhampton, 2002. http://hdl.handle.net/2436/89094.

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The aims of this project are to investigate the possibility and potential of automatically classifying Web documents according to a traditional library classification scheme and to investigate the extent to which automatic classification can be used in automatic metadata generation on the web. The Wolverhampton Web Library (WWLib) is a search engine that classifies UK Web pages according to Dewey Decimal Classification (DDC). This search engine is introduced as an example application that would benefit from an automatic classification component such as that described in the thesis. Different a
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Books on the topic "Classification of deposit resources"

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1949-, Lefebure David V., Ray Gerald E, British Columbia. Geological Survey Branch., and British Columbia. Ministry of Energy, Mines and Petroleum Resources., eds. Selected British Columbia mineral deposit profiles. Province of British Columbia, Ministry of Energy, Mines and Petroleum Resources, 1995.

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Dunn, Pete J. Franklin and Sterling Hill, New Jersey: The world's most magnificentmineral deposits. The Franklin-Ogdensburg Mineralogical Society), 1995.

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Dunn, Pete J. Franklin and Sterling Hill, New Jersey: The world's most magnificent mineral deposits. The Franklin-Ogdensburg Mineralogical Society], 1995.

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P, Cox Dennis, and Singer D. A, eds. Mineral deposit models. U.S. G.P.O., 1986.

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Rogers, M. C. Grade-tonnage deposit models of selected Ontario mineral deposit types. Ontario Geological Survey, 1996.

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V, Kirkham R., and Geological Association of Canada, eds. Mineral deposit modeling. Geological Association of Canada, 1995.

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B, Stoeser D., Heran William D, and Geological Survey (U.S.), eds. USGS mineral deposit models. U.S. Dept of the Interior, U.S. Geological Survey, 2000.

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DST Advanced Training Programme on Mineral Deposit Modelling. Mineral deposit modelling lecture notes. Department of Geology, University of Jammu, 2006.

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D, Bliss James, ed. Developments in mineral deposit modeling. U.S. Govt. Printing Office, 1992.

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Lane, Sangster Alan, ed. Mineral deposit studies in Nova Scotia. Energy, Mines and Resources Canada, 1990.

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Book chapters on the topic "Classification of deposit resources"

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Rivoirard, Jacques, Didier Renard, Felipe Celhay, et al. "From the Spatial Sampling of a Deposit to Mineral Resources Classification." In Geostatistics Valencia 2016. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46819-8_22.

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de Castro Moreira, Gabriel, João Felipe Coimbra Leite Costa, and Diego Machado Marques. "Applying Clustering Techniques and Geostatistics to the Definition of Domains for Modelling." In Springer Proceedings in Earth and Environmental Sciences. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19845-8_16.

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AbstractMachine learning is a broad field of study that can be applied in many areas of science. In mining, it has already been used in many cases, for example, in the mineral sorting process, in resource modeling, and for the prediction of metallurgical variables. In this paper, we use for defining estimation domains, which is one of the first and most important steps to be taken in the entire modeling process. In unsupervised learning, cluster analysis can provide some interesting solutions for dealing with the stationarity in defining domains. However, choosing the most appropriate techniqu
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Sabra, Ghadi, and Marilena Cardu. "A Case Study on the Application of the United Nations Framework Classification for Resources on the Piampaludo Titanium Deposits." In Yearbook of Sustainable Smart Mining and Energy - Technical, Economic and Legal Framework. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-41873-0_2.

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Keqin, Cai, Yu Yaoxian, and Xu Kuangdi. "Mineral deposit, Formation and Classification of." In The ECPH Encyclopedia of Mining and Metallurgy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0740-1_171-1.

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Jiangnan, Liao, and Xu Kuangdi. "Surface Development of Deposit, Classification of." In The ECPH Encyclopedia of Mining and Metallurgy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0740-1_204-1.

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Verbyla, David L. "Unsupervised Classification." In Satellite Remote Sensing of Natural Resources. CRC Press, 2022. http://dx.doi.org/10.1201/9780138740191-6.

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Verbyla, David L. "Supervised Classification." In Satellite Remote Sensing of Natural Resources. CRC Press, 2022. http://dx.doi.org/10.1201/9780138740191-7.

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Mohamed Nour, Morwan, Kyle Williams, and Hussein Suleman. "Evaluating Simple Repository Deposit for Open Educational Resources." In The Outreach of Digital Libraries: A Globalized Resource Network. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34752-8_35.

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Verbyla, David L. "Assessment of Classification Accuracy." In Satellite Remote Sensing of Natural Resources. CRC Press, 2022. http://dx.doi.org/10.1201/9780138740191-8.

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Li, Lamei, Lei Wang, Haoran Wu, Yanmei Ma, Huaibin Li, and Junjie Yi. "Geology and genesis of Aerhada Pb-Zn (Ag) deposit, Inner Mongolia." In Advances in Geology and Resources Exploration. CRC Press, 2022. http://dx.doi.org/10.1201/9781003308584-12.

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Conference papers on the topic "Classification of deposit resources"

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Haberecht, Peter W. "Pollution Deposition on HV Insulators: Untapped Resource for Atmospheric Corrosivity Estimation." In CORROSION 2013. NACE International, 2013. https://doi.org/10.5006/c2013-02317.

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Abstract This paper reveals a good (p=0.71) correlation between measuring the amount of conductive pollutants on the underside of suspension aerodynamic high voltage (HV) glass insulators, in common service around the world, and the actual ISO9223 calculated corrosivity category and measured annual zinc corrosion rates. If we accepted zinc corrosivity category over-classification of a test site by one category i.e. ISO-C2 being identified as more severe ISO-C3, the correlation significantly rises to (p=0.87). This work is based on extensive post graduate research which reveals a simple mathema
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Pant, Kartikey, and Tanvi Dadu. "Towards Code-switched Classification Exploiting Constituent Language Resources." In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.aacl-srw.6.

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Ali, Felermino D. M. A., Henrique Lopes Cardoso, and Rui Sousa-Silva. "Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.824.

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Askar, Mohamed Mostafa, Mahmoud Abu El Ela, Ahmed H. El-Banbi, and Mohamed H. M. Sayyouh. "Predicting Scale Depositions of Barium and Strontium Sulfates Using Novel Artificial Neural Network Algorithms." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222123-ms.

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Abstract Numerous scale types normally deposit inside oil production wells; however, sulfate scales are probably the most alarming types due to their high strength and insolubility. Several company cases of slickline scratching and coiled tubing milling fail to clean and remove heavy depositions of barium and strontium sulfates. Observations of the current study show that these sulfate scales deposit due to cooling of super-saline formation waters inside offshore producers and pipelines, besides the mixing of incompatible waters. Prediction of sulfate scale deposition is challenging. Many of t
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Hedzyk, Nazarii, Roman Malyk, Serhii Tyvonchuk, Volodymyr Vaskiv, Oksana Vanchak, and Viktoriia Mykytiuk. "Investment Planning in Oil Production Enhancement Projects in Ukraine Based on Joint Usage of 3D Modelling and SPE-PRMS Reserves Classification." In SPE Eastern Europe Subsurface Conference. SPE, 2021. http://dx.doi.org/10.2118/208503-ms.

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Abstract Most of the discovered oil fields in Ukraine entering a declining production stage. Many of these assets have good potential for production increasing and require investments. The risks of such investments are related to the uncertainty of geological information, production data, and the total amount of reserves and resources. This paper describes the study of the joint use of 3D hydrodynamic modeling and reserves estimation according to the SPE-PRMS classification, which together allowed to assess and significantly reduce investment risks for oil production enhancement projects. The
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Wang, Chongqing, Hui Wang, and Jiangang Fu. "Selenium resources from the Wolverine deposit, Canada." In International Conference on Earth Science and Environmental Protection (ICESEP2013). WIT Press, 2013. http://dx.doi.org/10.2495/icesep130821.

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Deng, Yuxuan, Wendong Wang, Xianfei Du, et al. "An Automated Data-Driven Workflow for Identifying Fractured Horizontal Well Sweet Spots in Shale Reservoirs." In 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0672.

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ABSTRACT The unique characteristics of shale reservoirs, including micro-nanopores, fast lithofacies fluctuations, ultra-tight reservoirs, and complex hydrocarbon occurrence states, make sweet spot evaluation for shale different from conventional tight oil reservoirs. Fortunately, data science techniques have proven effective in managing the large volume of data collected during shale reservoir development. This study presents a comprehensive sweet spot evaluation workflow in shale plays using a machine learning approach based on two key features: fracability and mobility. Quantitative shale f
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Dilshan, RADP, A. Sageenthan, NGN Weerangana, et al. "Geochemical Distribution of Selected Elements in Serpentinite Deposit in Ginigalpelessa, Sri Lanka." In International Symposium on Earth Resources Management & Environment. Department of Earth Resources Engineering, University of Moratuwa, Sri Lanka, 2022. http://dx.doi.org/10.31705/iserme.2022.6.

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Serpentinite deposits are well known for their natural enrichments of heavy metals (Ni, Cr, Co) and depletions of macro nutrients (Ca, Mg), which have caused different ecological and health impacts in the surrounding areas. In addition, they are considered as potential sources for rare earth elements (REEs). While Ginigalpelessa, the largest serpentinite deposit in Sri Lanka, has been the focus of several toxicological studies, to date, there have been no significant studies related to geochemical distribution of heavy metals, macro nutrients, and REEs in the deposit. Therefore, the present st
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Alаbinа, T. A., I. G. Grentikova, and J. D. Furman. "Assessment of Efficiency Attracting Resources in Commercial Bank’s Deposit Operations." In Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2018). Atlantis Press, 2019. http://dx.doi.org/10.2991/iscfec-18.2019.261.

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Skipworth, Peter J., Simon J. Tait, Adrian J. Saul, and Richard Ashley. "Sewer Flow Quality Modelling Based on a Novel Deposit Erosion Model." In World Water and Environmental Resources Congress 2001. American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40569(2001)481.

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Reports on the topic "Classification of deposit resources"

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Montreuil, J. F. Deposit classification and link to alteration facies. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329178.

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Anglin, C. D., and J. C. Harrison. Mineral resources, deposit models and assessment. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/210396.

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Tooker, Megan, Dawn Morrison, and Adam Smith. Cultural resources job descriptions and position classification standards. Engineer Research and Development Center (U.S.), 2018. http://dx.doi.org/10.21079/11681/29926.

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Harrison, J. C., B. M. Saumur, and D. R. Skipton. Mineral and carving-stone resources of Baffin Island. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/321858.

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Mineral resources of Baffin Island include iron (Mary River), diamonds, carbonate-hosted zinc and lead (Nanisivik), nickel, copper, platinum group elements, uranium, thorium, gemstones (sapphire, spinel, lapis lazuli), carving stone, and coal. Iron deposits include the Mary River No. 1 to 4 deposits of northern Baffin Island, which came into production in 2015 and contain 586 Mt grading 66% Fe. The Mesoproterozoic Borden Basin hosts the Nanisivik deposit, mined between 1976 and 2002; this is a Mississippi Valley-type deposit and contains 9.0% Zn, 0.7% Pb, and 41 ppm Ag. Diamond-rich kimberlite
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Berkowitz, Jacob, Matthew Blanchard, Kevin Philley, Nathan Beane, and Sydney Bufkin. Habitat and Landcover Classification and Maritime Forest Restoration Recommendations for Deer Island, Mississippi. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49422.

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This report addresses two objectives: (1) an island-wide survey and mapping initiative to document habitat and landcover types present on Deer Island, Mississippi, and (2) an evaluation of forested resources on Deer Island along with recommendations to improve and expand the extent of maritime forests on the island. Diverse habitats were documented, including more than 30 distinct habitat and landcover types ranging from wetland marshes to maritime forests and sand ridges. The habitat and landcover survey (and accompanying maps) support ongoing and future ecosystem restoration activities, prov
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Ley, Matt, Tom Baldvins, Hannah Pilkington, David Jones, and Kelly Anderson. Vegetation classification and mapping project: Big Thicket National Preserve. National Park Service, 2024. http://dx.doi.org/10.36967/2299254.

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The Big Thicket National Preserve (BITH) vegetation inventory project classified and mapped vegetation within the administrative boundary and estimated thematic map accuracy quantitatively. National Park Service (NPS) Vegetation Mapping Inventory Program provided technical guidance. The overall process included initial planning and scoping, imagery procurement, vegetation classification field data collection, data analysis, imagery interpretation/classification, accuracy assessment (AA), and report writing and database development. Initial planning and scoping meetings took place during May, 2
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Ley, Matt, Tom Baldvins, David Jones, Hanna Pilkington, and Kelly Anderson. Vegetation classification and mapping: Gulf Islands National Seashore. National Park Service, 2023. http://dx.doi.org/10.36967/2299028.

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The Gulf Islands National Seashore (GUIS) vegetation inventory project classified and mapped vegetation on park-owned lands within the administrative boundary and estimated thematic map accuracy quantitatively. The project began in June 2016. National Park Service (NPS) Vegetation Mapping Inventory Program provided technical guidance. The overall process included initial planning and scoping, imagery procurement, field data collection, data analysis, imagery interpretation/classification, accuracy assessment (AA), and report writing and database development. Initial planning and scoping meetin
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Sapkota, Yadav, Evan Grimes, and Jacob Berkowitz. Potential benefits of subaqueous soil data on Department of Defense installations. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49698.

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Many domestic and international US Department of Defense (DoD) installations are located in coastal areas. Recent advances in the classification and mapping of subaqueous soils, which occur in shallow freshwater and marine environments, has the potential to benefit US military operations in several different ways. This technical note communicates the importance of subaqueous soil classification and describes how subaqueous soil information can inform the management of natural resources, infrastructure and transportation, mitigation of coastal storm risk, protection of the coast from natural th
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Ramm-Granberg, Tynan, F. Rocchio, Catharine Copass, Rachel Brunner, and Eric Nelsen. Revised vegetation classification for Mount Rainier, North Cascades, and Olympic national parks: Project summary report. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2284511.

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Field crews recently collected more than 10 years of classification and mapping data in support of the North Coast and Cascades Inventory and Monitoring Network (NCCN) vegetation maps of Mount Rainier (MORA), Olympic (OLYM), and North Cascades (NOCA) National Parks. Synthesis and analysis of these 6000+ plots by Washington Natural Heritage Program (WNHP) and Institute for Natural Resources (INR) staff built on the foundation provided by the earlier classification work of Crawford et al. (2009). These analyses provided support for most of the provisional plant associations in Crawford et al. (2
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Chew, Robert F., Kirsty J. Weitzel, Peter Baumgartner, et al. Improving Text Classification with Boolean Retrieval for Rare Categories: A Case Study Identifying Firearm Violence Conversations in the Crisis Text Line Database. RTI Press, 2023. http://dx.doi.org/10.3768/rtipress.2023.mr.0050.2304.

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Advancements in machine learning and natural language processing have made text classification increasingly attractive for information retrieval. However, developing text classifiers is challenging when no prior labeled data are available for a rare category of interest. Finding instances of the rare class using a uniform random sample can be inefficient and costly due to the rare category’s low base rate. This work presents an approach that combines the strengths of text classification and Boolean retrieval to help learn rare concepts of interest. As a motivating example, we use the task of f
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