Sökning: "Learning Management Systems"

Visar resultat 16 - 20 av 252 avhandlingar innehållade orden Learning Management Systems.

1. 16. Learning ecosystem complexity : A study on small-scale fishers’ ecological knowledge generation

   Författare :Diana Garavito-Bermúdez; Camilla Thunborg; Cecilia Lundholm; Beatrice Crona; Alan Reid; Stockholms universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; small-scale fishers; informal learning; knowledge generation; systems thinking; ecological knowledge; ecosystem complexity; work practices; emotional bonds to place; sustainable fisheries management; environmental learning; Vättern; Blekinge; Baltic Sea.; pedagogik; Education;

   Sammanfattning : Small-scale fisheries are learning contexts of importance for generating, transferring, and updating ecological knowledge of natural environments through everyday work practices. The rich knowledge fishers have of local ecosystems is the result of the intimate relationship fishing communities have had with their natural environments across generations (see e. LÄS MER

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

   Författare :Mahbub Ul Alam; Rahim Rahmani; Jaakko Hollmén; Sadok Ben Yahia; Stockholms universitet; []
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

4. 18. Towards Next-Gen Machine Learning Asset Management Tools

   Författare :Samuel Idowu; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Experiment Management; Experiment management tools; Asset Management; Asset Management Tools; Tools; ML Asset Taxonomy;

   Sammanfattning : Context: The proficiency of machine learning (ML) systems in solving many real-world problems effectively has enabled a paradigm shift toward ML-enabled systems. In ML-enabled software, significant software code artifacts (i.e., assets) are replaced by ML-related assets, introducing multiple system development and production challenges. LÄS MER

5. 19. On the Feasibility of Reinforcement Learning in Single- and Multi-Agent Systems : The Cases of Indoor Climate and Prosumer Electricity Trading Communities

   Författare :Ross May; Kenneth Carling; Mengjie Han; Xingxing Zhang; Zoltán Nagy; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Reinforcement Learning; Multi-Agent Reinforcement Learning; Buildings; Indoor Climate; Occupant Comfort; Positive Energy Districts; Peer-to-Peer Markets; Complex Adaptive Systems;

   Sammanfattning : Over half of the world’s population live in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. LÄS MER

7. 20. Performance anomaly detection and resolution for autonomous clouds

   Författare :Olumuyiwa Ibidunmoye; Erik Elmroth; Ewnetu Bayuh Lakew; Rolf Stadler; Umeå universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud Computing; Distributed Systems; Performance Management; Anomaly Detection; Quality of Service; Performance Analytics; Machine Learning; Computer Systems; datorteknik; business data processing; administrativ databehandling; Computer Science; datalogi;

   Sammanfattning : Fundamental properties of cloud computing such as resource sharing and on-demand self-servicing is driving a growing adoption of the cloud for hosting both legacy and new application services. A consequence of this growth is that the increasing scale and complexity of the underlying cloud infrastructure as well as the fluctuating service workloads is inducing performance incidents at a higher frequency than ever before with far-reaching impact on revenue, reliability, and reputation. LÄS MER