Sökning: "Learning cycle"
Visar resultat 16 - 20 av 122 avhandlingar innehållade orden Learning cycle.
16. Automation of Navigation During the Short-loading Cycle Using Machine Vision
Sammanfattning : Earth-moving machines are machines used in a wide range of industries, such as the construction industry, to perform tasks related to earthworks.Currently, the vast majority of earth-moving machines are human-operated where expert operators perform these industry vital tasks. LÄS MER
17. Understanding Scalability and Sustainability in Mobile Learning : A Systems Development Framework
Sammanfattning : The rapid development of mobile technologies combined with access to content almost everywhere and every time allows people to experience new situations regarding learning in a wide variety of situations. Mobile learning brings the promise of learning "on the move" by allowing learners to take control over time and space, thus making learning "more natural". LÄS MER
18. Facts and Interpretations in Environmental Assessments of Products
Sammanfattning : Contemporary environmental discourse increasingly emphasises environmental impacts associated with products. In response to this attention, methods for assessing the impacts of products over their life cycles, life cycle assessment (LCA), have been devised. LÄS MER
19. Life Cycle Assessment and Decision Making: Theories and Practices
Sammanfattning : Life cycle assessment (LCA) has been in use to a varying extent since the late 1960s. The fact that LCA methodology needs further development is a frequently identified barrier to the further application of LCA. Consequently, the literature with suggestions for improving LCA methodology is extensive. LÄS MER
20. Patterns in big data bioinformatics : Understanding complex diseases with interpretable machine learning
Sammanfattning : Alterations in the flow of genetic information may lead to complex diseases. Such changes are measured with various omics techniques that usually produce the so-called “big data”. Using interpretable machine learning (ML), we retrieved patterns from transcriptomics data sets. LÄS MER