Search for dissertations about: "Paper Machine Modeling"
Showing result 16 - 20 of 43 swedish dissertations containing the words Paper Machine Modeling.
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16. An Algorithmic Framework for Intelligent Concrete Structural Defects Detection and Classification
Abstract : The primary objective of inspecting concrete civil structures is to gather information concerning the deterioration of concrete elements, including issues like concrete cover cracking, delamination, or corrosion. Typically, this data is documented through field inspection notes, hand-drawn sketches, and photographs. READ MORE
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17. Modelling Fiber Network Materials:Micromechanics, Constitutive Behaviour and AI
Abstract : This thesis focuses on understanding the mechanical behavior of fiber-based materials by utilizing various modeling approaches. Particular emphasis is placed on their structural variability, anisotropic properties, and damage behavior. READ MORE
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18. Modeling rural Vietnamese households' use of cooking fuels
Abstract : AbstractA majority of rural households in the developing world still use solid biomass fuels for cooking, which has severe negative health effects, may be expensive, time consuming, and contributes to global warming. Options for interventions aimed at improving the energy situation for households include the dissemination of improved cook stoves (ICSs), increase of households possibilities to switch to more modern fuels, for example through subsidies for LPG, as well as increase of the rate of electrification. READ MORE
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19. Random and Hybrid Medium Access for M2M Communication : Scalability and Energy Analysis
Abstract : The term machine-to-machine (M2M) communication identifies any fully automated communication between intelligent devices, autonomous from human intervention. M2M communication is a key enabling technology for the Internet of Things (IoT), where it is used to provide ubiquitous connectivity between a large number of intelligent devices. READ MORE
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20. Advancing Evolutionary Biology: Genomics, Bayesian Statistics, and Machine Learning
Abstract : During the recent decades the field of evolutionary biology has entered the era of big data, which has transformed the field into an increasingly computational discipline. In this thesis I present novel computational method developments, including their application in empirical case studies. READ MORE