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Showing result 1 - 5 of 160 swedish dissertations matching the above criteria.

2. 1. Space in the Space : Designing Sound Environments for the Shared Indoor Workspace

   Author : Martin Ljungdahl Eriksson; Lena Pareto; Davide Rocchesso; Högskolan Väst; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Sound Environment Design; 4E Cognition; Research through Design; Design program; Sound Users; Ljudmiljö; utformning; arbetsplats; medarbetare; Work Integrated Learning; Arbetsintegrerat lärande;

   Abstract : The sound environment in shared indoor workspaces emerges through the interplay of physical layout, materials, technology, and social dynamics. These spaces are designed with specific purposes in mind, taking acoustics into account during construction. READ MORE

4. 2. Learning-by-modeling : Novel Computational Approaches for Exploring the Dynamics of Learning and Self-governance in Social-ecological Systems

   Author : Emilie Lindkvist; Maja Schlüter; Jon Norberg; Örjan Ekeberg; James Dyke; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Complex adaptive systems; Renewable resources; Adaptive management; Small-scale fisheries; Artificial intelligence; Reinforcement learning; Agent-based modeling; agent-baserade modeller; artificiell intelligens; social-ekologiska system; komplexa adaptiva system; förnyelsebara naturresurser; adaptiv förvaltning; Sustainability Science; vetenskap om hållbar utveckling;

   Abstract : As a consequence of global environmental change, sustainable management and governance of natural resources face critical challenges, such as dealing with non-linear dynamics, increased resource variability, and uncertainty. This thesis seeks to address some of these challenges by using simulation models. READ MORE

5. 3. Data management improvements in the electrical grid : a pathway to a smarter cyber-physical system

   Author : Sylvie Evelyne Koziel; Patrik Hilber; Ebrahim Shayesteh; Per Westerlund; Mathaios Panteli; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; asset management; data management; data analytics; distribution; grid operation and planning; machine learning; cyberinfrastructure upgrade; Electrical Engineering; Elektro- och systemteknik;

   Abstract : The current power system is a network of electrical components forming a physical system. It is experiencing changes, such as the deployment of electric vehicles and distributed energy sources. Meanwhile, cybernetworks are becoming coupled into the physical grid to an increasing degree. READ MORE

6. 4. Conceptions of Crisis Management Capabilities – Municipal Officials’ Perspectives

   Author : Jerry Nilsson; Avdelningen för Brandteknik; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; conceptions.; dependencies; municipality; individual learning; officials; learning organisation; learning; valuable and worth protecting; responsive; Vulnerability analysis; crisis management;

   Abstract : In the Swedish crisis management system, the municipalities have a great responsibility. One part of this responsibility concerns preparing for crises by making risk and vulnerability analyses as well as plans for how to handle extraordinary events. READ MORE

7. 5. 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