Search for dissertations about: "text processing"
Showing result 1 - 5 of 100 swedish dissertations containing the words text processing.
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1. Signal Processing for Spectroscopic Applications
Abstract : Spectroscopic techniques allow for studies of materials and organisms on the atomic and molecular level. Examples of such techniques are nuclear magnetic resonance (NMR) spectroscopy—one of the principal techniques to obtain physical, chemical, electronic and structural information about molecules—and magnetic resonance imaging (MRI)—an important medical imaging technique for, e. READ MORE
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2. Document Image Processing for Handwritten Text Recognition : Deep Learning-based Transliteration of Astrid Lindgren’s Stenographic Manuscripts
Abstract : Document image processing and handwritten text recognition have been applied to a variety of materials, scripts, and languages, both modern and historic. They are crucial building blocks in the on-going digitisation efforts of archives, where they aid in preserving archival materials and foster knowledge sharing. READ MORE
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3. Mining Clinical Text in Cancer Care
Abstract : Health care and clinical practice generate large amounts of text detailing symptoms, test results, diagnoses, treatments, and outcomes for patients. This clinical text, documented in health records, is a potential source of knowledge and an underused resource for improved health care. READ MORE
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4. Talk, text and institutional order : A study of communication in social welfare bureaucracies
Abstract : This work focuses on the role of talk and text in the processing of people in public organizations. It is a study of communication between citizens and officials in one such organization, namely, the Swedish social services. READ MORE
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5. Nonparametric Message Passing Methods for Cooperative Localization and Tracking
Abstract : The objective of this thesis is the development of cooperative localization and tracking algorithms using nonparametric message passing techniques. In contrast to the most well-known techniques, the goal is to estimate the posterior probability density function (PDF) of the position of each sensor. READ MORE