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Showing result 1 - 5 of 58 swedish dissertations matching the above criteria.

  2. 1. Co-constructing Expertise : Competence Development through Work-Integrated e-Learning in joint Industry-University Collaboration

    Author : Monika Hattinger; Lars Svensson; Maria Spante; Lennart Malmsköld; Kristina M. Eriksson; Linn Gustavsson Christiernin; Anita Mirijamdotter; Högskolan Väst; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Competence Development; e-Learning design; Learning activities; Co-construction; Manufacturing industry; Expert knowledge; Knotworking; Expansive Transformation; Boundary crossing; Work Integrated Learning; Arbetsintegrerat lärande; Informatik; Informatics;

    Abstract : This thesis is inter-disciplinary and proceed from the ongoing challenges of the increased digitalization, automation and robotization that impact the manufacturing industry's emergent need of high-qualified practitioners. Digitalization also challenges universities to open up to external collaboration and to design blended e-learning targeting industry knowledge needs. READ MORE

  4. 2. Making sense of sensing: Learning through Maker-based Civic Engagement

    Author : Karin Ekman; Göteborgs universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; interest-driven learning; civic engagement; public engagement; exploratory dialogue; meaningful participation;

    Abstract : In the last decade or two, initiatives engaging the public in scientific activities have become increasingly popular. For example, in air pollution monitoring with Do-it-Yourself (DIY) low-cost sensors. READ MORE

  5. 3. Interactive Online Machine Learning

    Author : Agnes Tegen; Paul Davidsson; Jan A. Persson; Georg Krempl; Malmö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Interactive Machine Learning; Active Learning; Machine Teaching; Online Learning;

    Abstract : With the Internet of Things paradigm, the data generated by the rapidly increasing number of connected devices lead to new possibilities, such as using machine learning for activity recognition in smart environments. However, it also introduces several challenges. The sensors of different devices might be mobile and of different types, i.e. READ MORE

  6. 4. Approaches to Interactive Online Machine Learning

    Author : Agnes Tegen; Paul Davidsson; Jan A. Persson; Henrik Boström; Malmö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Interactive Machine Learning; Online Learning; Active Learning; Machine Teaching;

    Abstract : With the Internet of Things paradigm, the data generated by the rapidly increasing number of connected devices lead to new possibilities, such as using machine learning for activity recognition in smart environments. However, it also introduces several challenges. READ MORE

  7. 5. Vulnerability Analysis for Critical Infrastructures

    Author : Yuning Jiang; Yacine Atif; Jianguo Ding; Manfred A. Jeusfeld; Birgitta Lindström; Christoffer Brax; Sokratis Katsikas; Högskolan i Skövde; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; critical infrastructure cybersecurity; vulnerability assessment; vulnerability quantification; computational intelligence in cybersecurity; cyber-physical system; INF303 Informationssäkerhet; INF303 Information Security; INF301 Data Science; INF301 Data Science; Distribuerade realtidssystem DRTS ; Distributed Real-Time Systems;

    Abstract : The rapid advances in information and communication technology enable a shift from diverse systems empowered mainly by either hardware or software to cyber-physical systems (CPSs) that are driving Critical infrastructures (CIs), such as energy and manufacturing systems. However, alongside the expected enhancements in efficiency and reliability, the induced connectivity exposes these CIs to cyberattacks exemplified by Stuxnet and WannaCry ransomware cyber incidents. READ MORE