Search for dissertations about: "synthetic data"
Showing result 1 - 5 of 443 swedish dissertations containing the words synthetic data.
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1. Synthetic data for visual machine learning : A data-centric approach
Abstract : Deep learning allows computers to learn from observations, or else training data. Successful application development requires skills in neural network design, adequate computational resources, and a training data distribution that covers the application do-main. READ MORE
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2. Big Data Analytics for Fault Detection and its Application in Maintenance
Abstract : Big Data analytics has attracted intense interest recently for its attempt to extract information, knowledge and wisdom from Big Data. In industry, with the development of sensor technology and Information & Communication Technologies (ICT), reams of high-dimensional, streaming, and nonlinear data are being collected and curated to support decision-making. READ MORE
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3. Synthetic microdata
Abstract : This licentiate thesis presents a work focused on synthetic microdata. The main purpose of this thesis is to build a basis for further work in the field of constructing (fabricating and reconstructing) synthetic populations and its objectives are threefold. READ MORE
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4. Image Based Visualization Methods for Meteorological Data
Abstract : Visualization is the process of constructing methods, which are able to synthesize interesting and informative images from data sets, to simplify the process of interpreting the data. In this thesis a new approach to construct meteorological visualization methods using neural network technology is described. READ MORE
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5. Understanding Mobility and Transport Modal Disparities Using Emerging Data Sources: Modelling Potentials and Limitations
Abstract : Transportation presents a major challenge to curb climate change due in part to its ever-increasing travel demand. Better informed policy-making requires up-to-date empirical mobility data to model viable mitigation options for reducing emissions from the transport sector. READ MORE