Search for dissertations about: "Spatiotemporal modeling"
Showing result 1 - 5 of 15 swedish dissertations containing the words Spatiotemporal modeling.
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1. Bayesian Models for Spatiotemporal Data from Transportation Networks
Abstract : Urbanization has caused a historical transformation at a global scale, and humanity is moving towards a fully connected society where cities will concentrate population, infrastructure and economic activity. A key element in the cities’ infrastructure is the transportation system, as it facilitates the mobility of people and goods. READ MORE
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2. Learning Spatiotemporal Features in Low-Data and Fine-Grained Action Recognition with an Application to Equine Pain Behavior
Abstract : Recognition of pain in animals is important because pain compromises animal welfare and can be a manifestation of disease. This is a difficult task for veterinarians and caretakers, partly because horses, being prey animals, display subtle pain behavior, and because they cannot verbalize their pain. READ MORE
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3. Spatial Analysis and Modeling for Health Applications
Abstract : Despite the benefits of applying methods of geographic information science (GIScience), the use of such methods in health service planning and provision remains greatly underutilized. Spread of epidemic diseases is a constant threat to mankind and the globalization of the world increases the risk for global attacks from multi-resistant bacteria or deadly virus strains. READ MORE
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4. Real-time breath gas analysis of carbon monoxide : laser-based detection and pulmonary gas exchange modeling
Abstract : Breath gas analysis is a promising approach for non-invasive medical diagnostics and physiological monitoring. Real-time, breath-cycle resolved biomarker detection facilitates data interpretation and has the potential to improve the diagnostic value of breath tests as exhalation profiles carry spatiotemporal information about biomarker origin and gas exchange in the respiratory tract. READ MORE
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5. Efficient Spatiotemporal Filtering and Modelling
Abstract : The thesis describes novel methods for efficient spatiotemporal filtering and modeling. A multiresolution algorithm for energy-based estimation and representation of local spatiotemporal structure by second order symmetric tensors is presented. The problem of how to properly process estimates with varying degree of reliability is addressed. READ MORE