Search results for: MINING
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Mining Science and Technology(Russian Federation)
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Project management for the construction sector in the field of foundation of designed residential building located in this area with the expected impact of mining operation
PublicationAutorzy: Gwóźdź-Lasoń Monika, Berski Łukasz.
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Analysis by the Residual Method for Estimate Market Value of Land on the Areas with Mining Exploitation in Subsoil under Future New Building
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Selected Artificial Intelligence Methods in the Risk Analysis of Damage to Masonry Buildings Subject to Long-Term Underground Mining Exploitation
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Genome Mining Revealed a High Biosynthetic Potential for Antifungal Streptomyces sp. S-2 Isolated from Black Soot
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(Post)Mining Regions in the EU: Challenges, Policies, Strategies / Dawne okręgi górnicze w Unii Europejskiej: wyzwania, polityki, strategie.
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The oldest osseous mining tools in Europe? New discoveries from the chocolate flint mine in Orońsko, site 2 (southern Poland)
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Data Mining Path
e-Learning CoursesWithin this path, various issues regarding data mining and their practical application in various systems are discussed. 4 semestr specjalności ISI i ZAD
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High-Speed Videoendoscopy Enhances the Objective Assessment of Glottic Organic Lesions: A Case-Control Study with Multivariable Data-Mining Model Development
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Journal of the Southern African Institute of Mining and Metallurgy
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International Journal of Data Mining Modelling and Management
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International Journal of Business Intelligence and Data Mining
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JOURNAL OF THE SOUTH AFRICAN INSTITUTE OF MINING AND METALLURGY
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Genome Mining and Evaluation of the Biocontrol Potential of Pseudomonas fluorescens BRZ63, a New Endophyte of Oilseed Rape (Brassica napus L.) against Fungal Pathogens
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Synergistic effects of biochar and processed fly ash on bioavailability, transformation and accumulation of heavy metals by maize (Zea mays L.) in coal-mining contaminated soil
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Data Mining 2022/2023
e-Learning CoursesThis is a web page for our course in Data Mining.
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Data Mining 2021/2022
e-Learning CoursesThis is a web page for our course in Data Mining.
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Mining Science
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DATA MINING NSTAC 2022
e-Learning CoursesNSTAC
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Data Mining 2023/24
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Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy
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Evaluation of potentially toxic elements’ (PTEs) vertical distribution in sediments of Gafsa–Metlaoui mining basin (Southwestern Tunisia) using geochemical and multivariate statistical analysis approaches
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Cytokine TGFβ Gene Polymorphism in Asthma: TGF-Related SNP Analysis Enhances the Prediction of Disease Diagnosis (A Case-Control Study With Multivariable Data-Mining Model Development)
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Legal Problems of Mining and Environmental Protection
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DATA MINING STAC 2022/2023
e-Learning CoursesSTAC
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Advanced Data Mining 2022/23
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Advanced Data Mining 2023/24
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Data Mining (for Data Engineering) - Nowy
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DATA MINING NSTAC 2022 ON-LINE
e-Learning CoursesNSTAC
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Mineral Processing and Extractive Metallurgy-Transactions of the Institutions of Mining and Metallurgy
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Geam-Geoingegneria Ambientale e Mineraria-Geam-Geoengineering Environment and Mining
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Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining & Technology
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Caikuang yu Anquan Gongcheng Xuebao/Journal of Mining and Safety Engineering
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Transactions of the Institutions of Mining and Metallurgy, Section B: Applied Earth Science
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TRANSACTIONS OF THE INSTITUTIONS OF MINING AND METALLURGY SECTION C-MINERAL PROCESSING AND EXTRACTIVE METALLURGY
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Educational Data Mining
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DATA MINING (Field of study: Economic analytics 1st semester) -2022
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Mining for Enhanced Web Search
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Australian Data Mining Conference
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The experimental study of compaction parameters and elastic after-effect of fine fraction raw materials
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Measurements in civil engineering, transport, environmental engineering, mining and power engineering 22/23
e-Learning CoursesThe course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...
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Measurements in civil engineering, transport, environmental engineering, mining and power engineering 23/24
e-Learning CoursesThe course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...
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IEEE International Conference on Data Mining
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SIAM International Conference on Data Mining
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Intelligence Tools, Data Mining, Visualization
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INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
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Journal of Mining and Metallurgy Section B-Metallurgy
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Model studies to identify input parameters of an algorithm controlling electric supply/consumption process by underground iron ore enterprises
PublicationPurpose is the development of the research format of a mathematical model to select and assess input parameters of an algorithm controlling distribution of electric energy flows in the monitoring structure of electricity supply/ consumption by using equipment of mining enterprises engaged in underground iron ore raw materials extraction. Methods. The analytical research involved a theory of random processes adapted to the real...
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Mathematical model to assess energy consumption using water inflow-drainage system of iron-ore mines in terms of a stochastic process
PublicationPurpose is to develop a unified mathematical model to assess energy efficiency of a water inflow-drainage process as the real variant of stochastic method for water pumping from underground workings of iron-ore mines. Methods. The research process was based upon the methods of probability theory as well as stochastic modelling methods. The stochastic function integration has been reduced to summation of its ordinates and further...