Sökning: "Information visualization"

Visar resultat 26 - 30 av 322 avhandlingar innehållade orden Information visualization.

  1. 26. Touching the Essence of Life : Haptic Virtual Proteins for Learning

    Författare :Petter Bivall; Anders Ynnerman; Lena A. E. Tibell; Matthew D. Cooper; Miriam Reiner; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Haptics; Educational Research; Biomolecular Education; Life Science; JND; Just Noticeable Difference; Protein-ligand Docking; Haptic docking; Visualization; Haptic Transfer Functions; Volume Data Haptics; History Dependent Transfer Function; Log file analysis; Molecular Recognition; Force Feedback; Virtual Reality; Other information technology; Övrig informationsteknik;

    Sammanfattning : This dissertation presents research in the development and use of a multi-modal visual and haptic virtual model in higher education. The model, named Chemical Force Feedback (CFF), represents molecular recognition through the example of protein-ligand docking, and enables students to simultaneously see and feel representations of the protein and ligand molecules and their force interactions. LÄS MER

  3. 27. Multimediautveckling : Belysning av fyra kunskapsområden med en fördjupning i explorativt kravarbete

    Författare :Lennart Molin; John Sören Pettersson; Bengt Sandblad; Karlstads universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Multimedia development; multimedia product; requirements activities; interaction requirements; Ozlab prototyping; multimediautveckling; multimediaprodukt; kravarbete; interaktionskrav; Informatics; Informatik; Information Systems; Informatik;

    Sammanfattning : This thesis reports on two studies in the field of multimedia. The older one, completed in 2002, has as a general aim to explore, describe and analyse the concept of multimedia in relation to the concept of information systems. LÄS MER

  4. 28. Visual Analytics for Explainable and Trustworthy Machine Learning

    Författare :Angelos Chatzimparmpas; Andreas Kerren; Rafael M. Martins; Ilir Jusufi; Alex Endert; Linnéuniversitetet; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  5. 29. Image Based Visualization Methods for Meteorological Data

    Författare :Björn Olsson; Anders Ynnerman; Reiner Lenz; Anders Hast; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Visualization; Meteorological Data; Artificial Neural Networks; High-Dynamic-Range images; Satellite Data; Classification; Computer science; Datavetenskap;

    Sammanfattning : Visualization is the process of constructing methods, which are able to synthesize interesting and informative images from data sets, to simplify the process of interpreting the data. In this thesis a new approach to construct meteorological visualization methods using neural network technology is described. LÄS MER

  7. 30. Visual analytics for maritime anomaly detection

    Författare :Maria Riveiro; Göran Falkman; Tom Ziemke; Dag Stranneby; Mikael Jern; Örebro universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visual analytics; anomaly detection; maritime traffic monitoring; analytical reasoning; information fusion; TECHNOLOGY; TEKNIKVETENSKAP; Information technology; Informationsteknik; Computer science; Datavetenskap; Datalogi; Computer and Systems Science; Technology;

    Sammanfattning : The surveillance of large sea areas typically involves  the analysis of huge quantities of heterogeneous data.  In order to support the operator while monitoring maritime traffic, the identification of anomalous behavior or situations that might need further investigation may reduce operators' cognitive load. LÄS MER