Essays about: "MLA"
Showing result 1 - 5 of 7 essays containing the word MLA.
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1. Uranium Mineralizations at Kiirunavaara,Northernmost Sweden
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : In recent years, a variably high amount of uranium (U) and radon (Rn) were found in the water and airof the Kiirunavaara mine in Kiruna, northern Sweden. The Swedish Agency for Marine and WaterManagement (Havs och vattenmyndigheten) has maximum limits for “special polluting substances” inwater that is released to natural recipients (HVMFS 2019:25), therefore, the mining company LKAB,owner and operator of the Kiirunavaara mine, decided to conduct a study to investigate the issueregarding these findings, triggering this master thesis. READ MORE
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2. Textural characterization of gold in the Björkdal gold deposit, northern Sweden.
University essay from Luleå tekniska universitet/Geovetenskap och miljöteknikAbstract : The Björkdal gold deposit is located in the eastern part of the Skellefte district, northern Sweden. Twenty thin sections from four production areas in the open pit and four drifts from the underground mine were analysed for mineral association and grain size distribution of gold. READ MORE
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3. Obstructing justice in white-collar crime investigations : When suspects appeal against Switzerland's Mutual Legal Assistance
University essay from Uppsala universitet/Statsvetenskapliga institutionenAbstract : .... READ MORE
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4. Flotation of Yxsjöberg historical tungsten ore tailings
University essay from Luleå tekniska universitet/Mineralteknik och metallurgiAbstract : Tailings dams, due to their sheer size and metal content, pose safety and environmental hazards. The Småltjarnen repository, which hosts material from the largest known tungsten mineralization in Sweden named the Yxsjöberg deposit, is estimated to contain 2. READ MORE
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5. Evaluation of machine learning algorithms for customer demand prediction of in-flight meals
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study aims to evaluate multiple Machine Learning Algorithms (MLAs) for estimating the customer demand of in-flight meals. As a result of the review of related works, four MLAs were selected, namely Linear Regression (LR), Support Vector Regression (SVR), Extreme Gradient Boosting (XGBoost) and a Multilayer Perceptron Neural Network (MLP). READ MORE