Search for dissertations about: "data uncertainty"
Showing result 1 - 5 of 834 swedish dissertations containing the words data uncertainty.
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1. The Making of Valid Data : People and Machines in Genetic Research Practice
Abstract : Avhandlingen undersöker ett centralt steg inom vetenskapliga praktiker: hur laboratorieprov översätts till data som anses giltiga och användbara av forskargemenskapen. Baserat på ett multilokalt fältarbete bestående av observationer och intervjuer i laboratorier för genetisk forskning, visas i avhandlingen hur laboratoriepersonalens yrkesskicklighet, samt normer och ideal om vetenskaplig forskning, formade deras praktiker av att producera giltiga data. READ MORE
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2. Flood Hazard Assessment in Data-Scarce Basins : Use of alternative data and modelling techniques
Abstract : Flooding is of great concern world-wide, causing damage to infrastructure, property and loss of life. Low-income countries, in particular, can be negatively affected by flood events due to their inherent vulnerabilities. Moreover, data to perform studies for flood risk management in low-income regions are often scarce or lacking sufficient quality. READ MORE
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3. Environmental Modelling : Learning from Uncertainty
Abstract : Environmental models are important tools; however uncertainty is pervasive in the modeling process. Current research has shown that understanding and representing these uncertainties is critical when decisions are expected to be made from the modeling results. READ MORE
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4. Disinformative and Uncertain Data in Global Hydrology : Challenges for Modelling and Regionalisation
Abstract : Water is essential for human well-being and healthy ecosystems, but population growth and changes in climate and land-use are putting increased stress on water resources in many regions. To ensure water security, knowledge about the spatiotemporal distribution of these resources is of great importance. READ MORE
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5. Towards Privacy Preserving Micro-data Analysis : A machine learning based perspective under prevailing privacy regulations
Abstract : Machine learning (ML) has been employed in a wide variety of domains where micro-data (i.e., personal data) are used in the training process. READ MORE