Sökning: "Technology Enhanced Learning"

Visar resultat 21 - 25 av 100 avhandlingar innehållade orden Technology Enhanced Learning.

1. 21. Data-driven Implementations for Enhanced Healthcare Internet-of-Things Systems

   Författare :Amleset Kelati; Hannu Tenhunen; Juha Plosila; Nerey Mvungi; Ethiopia Nigussie; Bengt Oelmann; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; IoT; Real_time; Smart meter; Biosignal; NIALM; Data-driven; Machine Learning; FPGA; Informations- och kommunikationsteknik; Information and Communication Technology;

   Sammanfattning : Healthcare monitoring systems based on the Internet of Things (IoT) areemerging as a potential solution for reducing healthcare costs by impacting and improving the quality of health care delivery. The rising numberof elderly and chronic patient population in the world and the associatedhealthcare costs urges the application of IoT technology to improve andsupport the health care services. LÄS MER

3. 22. Exploring Sustainable Work Systems : An Interactional Perspective on Learning and Organizing

   Författare :Jens Hemphälä; Jan Forslin; Tomas Backström; Annika Zika-Viktorsson; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Sustainable Work Systems; Interaction; Organizational Learning; Sensemaking; Work sciences and ergonomics; Arbetsvetenskap och ergonomi;

   Sammanfattning : Working conditions are increasingly unpredictable, complex, and ungovernable creating severe health risks for employees and negative economic consequences for both corporations and society. Considering the growth in understanding human psychology and sociology, and the progression in measuring working conditions and health, this phenomenon is most perplexing. LÄS MER

4. 23. Conditions for Technology Enhanced Learning and Educational Change : a case study of a 1:1 initiative

   Författare :Marcia Håkansson Lindqvist; Anders D. Olofsson; Limin Gu; Trond-Eiliv Hauge; Rosemary Luckin; Umeå universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; digital technologies; ICT; laptops; one-to-one; school development; school leaders; students; teachers; teacher professional development; TEL;

   Sammanfattning : The uptake and use of digital technologies continues to increase in schools throughout the world. In many schools the uptake and use of digital technologies takes place in One-to-One (1:1) initiatives in which teachers and students have their own laptops. LÄS MER

5. 24. Practical application of machine learning for analyses of biological matrices and environmental phenomena

   Författare :Alexandra Walsh; Göteborgs universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; Surface enhanced Raman spectroscopy; Acute lymphatic leukaemia; Volatile halogenated organic carbons; Marine algae; Doxorubicin; Principal component analysis; Multivariate statistics; Design of experiments; Waterlogged archaelogical wood; Transposed orthogonal partial least squares;

   Sammanfattning : This thesis presents research aimed at forwarding an understanding of machine learning methods as a method of studying complex matrices and environmental phenomena. A number of machine learning methods in the form of linear projection algorithms and statistical experimental designs were applied for qualitative analysis of different matrices. LÄS MER

7. 25. Deep Learning for Digital Pathology in Limited Data Scenarios

   Författare :Karin Stacke; Jonas Unger; Gabriel Eilertsen; Claes Lundström; Henning Müller; Linköpings universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Medical imaging; Digital pathology; Radiology; Machine learning; Deep learning.;

   Sammanfattning : The impressive technical advances seen for machine learning algorithms in combination with the digitalization of medical images in the radiology and pathology departments show great promise in introducing powerful image analysis tools for image diagnostics. In particular, deep learning, a subfield within machine learning, has shown great success, advancing fields such as image classification and detection. LÄS MER