Sökning: "data- och systemvetenskap Data- och systemvetenskap"
Visar resultat 31 - 35 av 852 avhandlingar innehållade orden data- och systemvetenskap Data- och systemvetenskap.
31. Learning from Complex Medical Data Sources
Sammanfattning : Large, varied, and time-evolving data sources can be observed across many domains and present a unique challenge for classification problems, in which traditional machine learning approaches must be adapted to accommodate for the complex nature of such data. Across most domains, there is also a need for machine learning models that are both well-performing and interpretable, to help provide explanations of a model's decisions that stakeholders can trust and take appropriate actions with. LÄS MER
32. Letters & Bytes : Sociotechnical Studies of Distance Education
Sammanfattning : This dissertation studies the social aspects of technology in distance education trough the lens of history – in the form of correspondence education – and a possible future – in the form of a project of technical standardization, Learning Objects. The studied cases form a reflexive tool that allows the present of distance education to be seen in perspective. LÄS MER
33. Semantic description and communication of going around in a simulated world
Sammanfattning : In recent years, mobile robots have helped to link predictions, imaginations, and expectations to human life. The tsunami of research on mobile robots mirrors their importance in various fields, such as production, agriculture and medicine. LÄS MER
34. Network-Calculus-based Performance Analysis for Wireless Sensor Networks
Sammanfattning : Recently, wireless sensor network (WSN) has become a promising technologywith a wide range of applications such as supply chain monitoringand environment surveillance. It is typically composed of multiple tiny devicesequipped with limited sensing, computing and wireless communicationcapabilities. LÄS MER
35. Machine-Printed and Handwritten Ethiopic Script Recognition
Sammanfattning : A written language is represented by using machine-printed or handwritten symbols called characters. For automatic recognition of written languages, handwritten script can be captured offline (by a scanner) and online (by electronic digital devices), whereas machine-printed text is captured offline. LÄS MER