Sökning: "Data availability"
Visar resultat 1 - 5 av 792 avhandlingar innehållade orden Data availability.
1. Software Design Conflicts : Maintainability versus Performance and Availability
Sammanfattning : A major goal in software engineering is to reduce the cost of maintaining software systems. Finding design methods which make software more easily maintainable has thus been one of the most prioritized challenges during the past decade. While mainstream software design has concentrated on maintainability, other software disciplines e.g. LÄS MER
2. Disinformative and Uncertain Data in Global Hydrology : Challenges for Modelling and Regionalisation
Sammanfattning : Water is essential for human well-being and healthy ecosystems, but population growth and changes in climate and land-use are putting increased stress on water resources in many regions. To ensure water security, knowledge about the spatiotemporal distribution of these resources is of great importance. LÄS MER
3. Data Importance in Power System Asset Management
Sammanfattning : The current shift towards a higher degree of data-driven decision making in power system asset management highlights the importance of asset data. This thesis identifies, investigates, and proposes methods for data-related research gaps that are encountered by asset managers. These research gaps are in data availability and data quality. LÄS MER
4. Improving the Utilization of Digital Services - Evaluating Contest-Driven Open Data Development and the Adoption of Cloud Services : Evaluating Contest-Driven Open Data Development and the Adoption of Cloud Services
Sammanfattning : There is a growing interest in the utilization of digital services, such as software apps and cloud-based software services. The utilization of digital services enabled by ICT is increasing more rapidly than any other segment of the world trade. LÄS MER
5. Synthetic data for visual machine learning : A data-centric approach
Sammanfattning : Deep learning allows computers to learn from observations, or else training data. Successful application development requires skills in neural network design, adequate computational resources, and a training data distribution that covers the application do-main. LÄS MER