Search for dissertations about: "paper machine"

Showing result 16 - 20 of 364 swedish dissertations containing the words paper machine.

  2. 16. Surface Characterization using Radiometric and Fourier Optical Methods

    Author : Peter Hansson; Arne Roos; Mikael Sjödahl; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Engineering physics; Radiometry; Fourier Optics; Surface Characterization; Topography; Reflectance; Color; Paper; Printing; Print quality; Gloss; Light scattering; Shape from shading; Photometric stereo; Optical motion compensation; Filtering; Wiener filter; Lamberts law; Image analysis; Image processing; Machine vision; Teknisk fysik; Engineering physics; Teknisk fysik;

    Abstract : This thesis treats static and dynamic surface characterization using radiometric and Fourier optical methods. A Fourier optical method has been developed for real time image processing in paper production and printing applications. READ MORE

  4. 17. Experimental validation and numerical upscaling of linear network models for simulation of paper

    Author : Morgan Görtz; Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC); []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bending; paper model; multiscale; network model; local orthogonal decomposition; paper simulation;

    Abstract : Paper modeling results in complex geometries that lead to enormous numerical problems. The complexity lies in the material's microstructure. Individual paper fibers must be considered for useful material simulations in paper development, where wood composition and other fiber-based parameters are essential. READ MORE

  5. 18. Synergies between Chemometrics and Machine Learning

    Author : Rickard Sjögren; Johan Trygg; Olivier Cloarec; Ola Spjuth; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; computational science; machine learning; chemometrics; multivariate data analysis; design of experiments; data science; beräkningsvetenskap; maskininlärning; kemometri; multivariat dataanalys; experimentdesign;

    Abstract : Thanks to digitization and automation, data in all shapes and forms are generated in ever-growing quantities throughout society, industry and science. Data-driven methods, such as machine learning algorithms, are already widely used to benefit from all these data in all kinds of applications, ranging from text suggestion in smartphones to process monitoring in industry. READ MORE

  6. 19. Confidence Predictions in Pharmaceutical Sciences

    Author : Staffan Arvidsson McShane; Ola Spjuth; Wesley Schaal; Lars Carlsson; Ernst Ahlberg; Stefan Kramer; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; machine learning; QSAR; Conformal prediction; Venn-ABERS; Probabilistic machine learning; Machine learning; Maskininlärning; Farmaceutisk vetenskap; Pharmaceutical Science;

    Abstract : The main focus of this thesis has been on Quantitative Structure Activity Relationship (QSAR) modeling using methods producing valid measures of uncertainty. The goal of QSAR is to prospectively predict the outcome from assays, such as ADMET (Absorption, Distribution, Metabolism, Excretion), toxicity and on- and off-target interactions, for novel compounds. READ MORE

  7. 20. Machine learning for spatially varying data

    Author : Muhammad Osama; Dave Zachariah; Mattias Villani; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; spatio-temporal; spatial; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Abstract : Many physical quantities around us vary across space or space-time. An example of a spatial quantity is provided by the temperature across Sweden on a given day and as an example of a spatio-temporal quantity we observe the counts of the corona virus cases across the globe. READ MORE