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Showing result 1 - 5 of 6 swedish dissertations matching the above criteria.
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1. Network Based Tools and Indicators for Landscape Ecological Assessments, Planning, and Design
Abstract : Land use change constitutes a primary driving force in shaping social-ecological systems world wide, and its effects reach far beyond the directly impacted areas. Graph based landscape ecological tools have become established as a promising way to efficiently explore and analyze the complex, spatial systems dynamics of ecological networks in physical landscapes. READ MORE
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2. Efficient Algorithms for Graph-Theoretic and Geometric Problems
Abstract : This thesis studies several different algorithmic problems in graph theory and in geometry. The applications of the problems studied range from circuit design optimization to fast matrix multiplication. First, we study a graph-theoretical model of the so called ''firefighter problem''. READ MORE
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3. Robust Algorithms for Multiple View Geometry: Outliers and Optimality
Abstract : This thesis is concerned with the geometrical parts of computer vision, or more precisely, with the three-dimensional geometry. The overall aim is to extract geometric information from a set of images. Most methods for estimating the geometry of multiple views rely on the existence of robust solvers for a set of basic problems. READ MORE
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4. Learning to Analyze Visual Data Streams for Environment Perception
Abstract : A mobile robot, instructed by a human operator, acts in an environment with many other objects. However, for an autonomous robot, human instructions should be minimal and only high-level instructions, such as the ultimate task or destination. READ MORE
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5. Analytics-driven approaches supporting asset management of sanitary sewer networks
Abstract : Sewer blockages can cause overflows and flooding, with consequences such as damage to property and environmental pollution, risks to public health and economic loss. Despite the causes being understood, blockages in sewer networks may occur unpredictably. READ MORE