Search for dissertations about: "transfer of learning"

Showing result 1 - 5 of 183 swedish dissertations containing the words transfer of learning.

  2. 1. Knowledge at play. Studies of games as members’ matters : Kunskap genom spelande. Studier av digitala spel och spelande som kunskapsdomän

    Author : Ulrika Bennerstedt; Göteborgs universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; digital games; collaborative gaming; gameplay; learning; skill; transfer; coordinated action; professionalization; game education; assessment; institutionalization; gaming literacy; ethnomethodology;

    Abstract : On a general level, this thesis seeks some answers to the broad question of what one can learn from digital games. With an analytical approach informed by ethnomethodology, the main thrust of the work is an exploration of members’ matters in the area of games and gaming. READ MORE

  4. 2. Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things : Enhancing COVID-19 & Early Sepsis Detection

    Author : Mahbub Ul Alam; Rahim Rahmani; Jaakko Hollmén; Sadok Ben Yahia; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Internet of Medical Things; Patient-Centric Healthcare; Clinical Decision Support System; Predictive Modeling in Healthcare; Health Informatics; Healthcare analytics; COVID-19; Sepsis; COVID-19 Detection; Early Sepsis Detection; Lung Segmentation Detection; Medical Data Annotation Scarcity; Medical Data Sparsity; Medical Data Heterogeneity; Medical Data Security Privacy; Practical Usability Enhancement; Low-End Device Adaptability; Medical Significance; Interpretability; Visualization; LIME; SHAP; Grad-CAM; LRP; Electronic Health Records; Thermal Image; Tabular Medical Data; Chest X-ray; Machine Learning; Deep Learning; Federated Learning; Semi-Supervised Machine Learning; Multi-Task Learning; Transfer Learning; Multi-Modality; Natural Language Processing; ClinicalBERT; GAN; data- och systemvetenskap; Computer and Systems Sciences;

    Abstract : This thesis presents a critical examination of the positive impact of Machine Learning (ML) and the Internet of Medical Things (IoMT) for advancing the Clinical Decision Support System (CDSS) in the context of COVID-19 and early sepsis detection.It emphasizes the transition towards patient-centric healthcare systems, which necessitate personalized and participatory care—a transition that could be facilitated by these emerging fields. READ MORE

  5. 3. Acquisition of Capabilitities through International Technology Transfer

    Author : Sverker Alänge; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Industrialization; Technology transfer; Network; Entrepreneurship; Industrial economics; Innovation; Diffusion; Developing countries; Infant industry; Motivation;

    Abstract : The focus in this thesis is on the acquisition of static and dynamic capabilities in LDC industry. This has been studied in small industries in Tanzania, which were started through international technology transfer, in which small producing firms from Sweden acted as technology suppliers (The Sister Industry Programme). READ MORE

  6. 4. Voluntary control of heart rate : optimization of acquisition and transfer of learning

    Author : Aleksander Perski; Uppsala universitet; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP;

    Abstract : .... READ MORE

  7. 5. Sharing to learn and learning to share : Fitting together metalearning and multi-task learning

    Author : Richa Upadhyay; Marcus Liwicki; Ronald Phlypo; Rajkumar Saini; Atsuto Maki; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multi-task learning; Meta learning; transfer learning; knowledge sharing algorithms; Machine Learning; Maskininlärning;

    Abstract : This thesis focuses on integrating learning paradigms that ‘share to learn,’ i.e., Multitask Learning (MTL), and ‘learn (how) to share,’ i.e. READ MORE