Sökning: "Data- och informationsvetenskap"

Visar resultat 21 - 25 av 4287 avhandlingar innehållade orden Data- och informationsvetenskap.

  1. 21. Adaptive Robot Presenters : Modelling Grounding in Multimodal Interaction

    Författare :Agnes Axelsson; Gabriel Skantze; Johan Boye; Elisabeth André; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Human-robot interaction; Dialogue; Presentation; Museum; Grounding; Multimodal; Feedback; Classification; Knowledge graphs; KG; KG-to-text; WebNLG; System; Learning; Large Language Model; LLM; människa-robot-interaktion; hri; dialog; presentation; museum; grundning; multimodal; multimodalitet; återmatning; klassifikation; kunskapsgraf; kg; kg-till-text; data-tilltext; webnlg; system; inlärning; lärande. stor språkmodell; llm; Speech and Music Communication; Tal- och musikkommunikation;

    Sammanfattning : This thesis addresses the topic of grounding in human-robot interaction, that is, the process by which the human and robot can ensure mutual understanding. To explore this topic, the scenario of a robot holding a presentation to a human audience is used, where the robot has to process multimodal feedback from the human in order to adapt the presentation to the human's level of understanding. LÄS MER

  3. 22. Secure and Privacy-aware Data Collection and Processing in Mobile Health Systems

    Författare :Leonardo H Iwaya; Simone Fischer-Hübner; Leonardo Martucci; Rose-Mharie Åhlfeldt; Sokratis Katsikas; Karlstads universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Mobile health; information security; data privacy; data collection; personal health data; Computer Science; Datavetenskap; Computer Science; Datavetenskap;

    Sammanfattning : Healthcare systems have assimilated information and communication technologies in order to improve the quality of healthcare and patient's experience at reduced costs. The increasing digitalization of people's health information raises however new threats regarding information security and privacy. LÄS MER

  4. 23. Life paths through space and time: Adding the micro-level geographic context to longitudinal historical demographic research

    Författare :Finn Hedefalk; Centrum för ekonomisk demografi; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Geographic micro-level factors; longitudinal historical data; geocoding; historical demography; 19th century; individual level; spatio-temporal analysis; detailed geographic data; geographic context.; property units; rural historical soceties; Geographic micro-level factors; longitudinal historical data; geocoding; historical demography; 19th century; individual level; spatio-temporal analysis; detailed geographic data; property units; geographic context;

    Sammanfattning : Historical demographic research is central to understanding past human behaviours and traits, such as fertility, mortality and migration. An essential part of historical demography is conducting longitudinal analyses at the micro-level, which involves the detailed follow-up of individuals over long time periods throughout their lives. LÄS MER

  5. 24. Enhancing Salient Features in Volumetric Data Using Illumination and Transfer Functions

    Författare :Daniel Jönsson; Anders Ynnerman; Kwan-Liu Ma; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : The visualization of volume data is a fundamental component in the medical domain. Volume data is used in the clinical work-flow to diagnose patients and is therefore of uttermost importance. LÄS MER

  7. 25. Data management and Data Pipelines: An empirical investigation in the embedded systems domain

    Författare :Aiswarya Raj Munappy; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; data management; empirical investigation; artificial intelligence; data pipelines; embedded systems; software engineering; machine learning;

    Sammanfattning : Context: Companies are increasingly collecting data from all possible sources to extract insights that help in data-driven decision-making. Increased data volume, variety, and velocity and the impact of poor quality data on the development of data products are leading companies to look for an improved data management approach that can accelerate the development of high-quality data products. LÄS MER