Search for dissertations about: "visualization tools"

Showing result 6 - 10 of 150 swedish dissertations containing the words visualization tools.

  2. 6. Web Applications for Large-Scale Decision Support : Preference Elicitation, Modeling and Visualization

    Author : Samuel Bohman; Aron Larsson; Bo Sundgren; Majlender Peter; Göran Cars; Øystein Sæbø; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; World Wide Web; Decision Support Systems; Data Visualization; Man-Machine-Interaction MMI ; människa-maskin-interaktion MMI ;

    Abstract : This thesis addresses the lack of effective and efficient technology design in current e-participation research by investigating two approaches that yet have not been explored to any great extent in the literature: decision science and data visualization. It is concerned with the problem of how to combine techniques from these two fields to achieve decision support in the context of e-participation; from preference elicitation and modeling to data analysis, visualization and final recommendations, such that it can provide value to practitioners. READ MORE

  4. 7. Managing Geometrical Variation in Complex Assemblies through Visualization and Tolerance Allocation

    Author : Johan Lööf; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; tolerance analysis; and motion envelope.; variation simulation; tolerance allocation; visualization;

    Abstract : To stay competitive in the market today, manufacturing companies have to shorten their time to market. This implies that time also has to be saved during the product development phase. This thesis will mainly focus on how to be more efficient in the detail design phase through different design activities. READ MORE

  5. 8. Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use

    Author : Jesper Molin; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; Digital pathology; Visualization; Human-computer interaction;

    Abstract : Digital pathology is a novel technology currently being implemented world wide. Thisthesis summarizes four years of HCI and visualization research and provides an overallunderstanding of designing workstation software for pathologists. READ MORE

  6. 9. Visualization of Guidelines on Computer Networks to Support Processes of Design and Quality Control

    Author : Mikael Blomé; Ergonomi och aerosolteknologi; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Systems engineering; computer technology; Data- och systemvetenskap; Visualization.; Vehicle design; Quality control; Participation; Intranet; Instructions; ISO 9000; Industrial companies; Guidelines; Computer networks; Ergonomics;

    Abstract : Industrial companies supply products intended to satisfy customers’ needs and requirements. To be competitive and to maintain good economic performance, efficient systems are needed to communicate information and exchange knowledge. READ MORE

  7. 10. Visual Analytics for Explainable and Trustworthy Machine Learning

    Author : Angelos Chatzimparmpas; Andreas Kerren; Rafael M. Martins; Ilir Jusufi; Alex Endert; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visualization; interaction; visual analytics; explainable machine learning; XAI; trustworthy machine learning; ensemble learning; dimensionality reduction; supervised learning; unsupervised learning; ML; AI; tabular data; visualisering; interaktion; visuell analys; förklarlig maskininlärning; XAI; pålitlig maskininlärning; ensembleinlärning; dimensionesreducering; övervakad inlärning; oövervakad inlärning; ML; AI; tabelldata; Computer Science; Datavetenskap; Informations- och programvisualisering; Information and software visualization;

    Abstract : The deployment of artificial intelligence solutions and machine learning research has exploded in popularity in recent years, with numerous types of models proposed to interpret and predict patterns and trends in data from diverse disciplines. However, as the complexity of these models grows, it becomes increasingly difficult for users to evaluate and rely on the model results, since their inner workings are mostly hidden in black boxes, which are difficult to trust in critical decision-making scenarios. READ MORE