Search for dissertations about: "complex network analysis"
Showing result 21 - 25 of 327 swedish dissertations containing the words complex network analysis.
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21. Worse than Complex
Abstract : This thesis engages with questions on the boundary between what has traditionally been understood as social and natural. The introductory essay contextualizes the specific contributions of the included papers, by noting and exploring a reinvigoration of "naturalism" (the notion of a continuity between the human realm and the rest of natural phenomena) under the banner of Complexity Science. READ MORE
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22. Topological and Scaling Analysis of Geospatial Big Data
Abstract : Geographic information science and systems face challenges related to understanding the instinctive heterogeneity of geographic space, since conventional geospatial analysis is mainly founded on Euclidean geometry and Gaussian statistics. This thesis adopts a new paradigm, based on fractal geometry and Paretian statistics for geospatial analysis. READ MORE
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23. A Microdata Analysis Approach to Transport Infrastructure Maintenance
Abstract : Maintenance of transport infrastructure assets is widely advocated as the key in minimizing current and future costs of the transportation network. While effective maintenance decisions are often a result of engineering skills and practical knowledge, efficient decisions must also account for the net result over an asset's life-cycle. READ MORE
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24. Robust analysis of uncertainty in scientific assessments
Abstract : Uncertainty refers to any limitation in knowledge. Identifying and characterizing uncertainty in conclusions is important to ensure transparency and avoid over or under confidence in scientific assessments. Quantitative expressions of uncertainty are less ambiguous compared to uncertainty expressed qualitatively, or not at all. READ MORE
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25. Big data networks and orthology analysis
Abstract : Understanding biological systems in complex organisms is important in life science in order to comprehend the interplay of genes, proteins, and compounds causing complex diseases. As biological systems are intricate, bioinformatics tools, models, and algorithms are of the utmost importance to understand the bigger picture and decipher biological meaning from the vast amounts of information available from biological experiments and predictions. READ MORE