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Showing result 1 - 5 of 23 essays matching the above criteria.
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1. An Empirical Survey of Bandits in an Industrial Recommender System Setting
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. READ MORE
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2. Development of an Investigation Method to Analyse Effect of Laser Cutting on Iron Losses in an Electric Machine
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this fast pace world, climate change is one of the primary concerns worldwide. The world is racing towards reducing CO2 emissions by focusing on decreasing energy consumption. Electric motors capture about two-third of the industrial energy consumption, of which the most growing sector is electrical vehicles. READ MORE
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3. Impact of calcination temperature and time on quicklime slaking reactivity
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : In this master thesis work calcination parameters' impact on the resulting quicklimes slaking reactivity is investigated. This is done by calcination of three different sedimentary limestones in an N2 atmosphere according to a design of experiment matrix. The limestones are from Wolica Poland, Slite Sweden and Jutjärn Sweden. READ MORE
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4. Implementation of Spectrum Analysis Functionality for IQ-Signal.
University essay from Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskapAbstract : The spectrum analyzer is a standard tool used to measure signals in the frequency domain. Traditional spectrum analyzers are based on sweeping a local oscillator and using this to mix signals down to an intermediate frequency (IF) and, subsequently filter them with a filter of settable characteristics, called the Resolution Bandwidth (RBW). READ MORE
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5. Multi-Class Imbalanced Learning for Time Series Problem : An Industrial Case Study
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Classification problems with multiple classes and imbalanced sample sizes present a new challenge than the binary classification problems. Methods have been proposed to handle imbalanced learning, however most of them are specifically designed for binary classification problems. READ MORE