Sökning: "Data uncertainty"

Visar resultat 11 - 15 av 876 avhandlingar innehållade orden Data uncertainty.

1. 11. On the Economic Return of a Software Investment – Managing Cost, Benefit and Uncertainty

   Författare :Emil Numminen; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Economic Return; Managerial Decisions; Real Option; Software Investment; Uncertainty;

   Sammanfattning : The purpose of this dissertation is to explore how the economic return of a software investment can be assessed and managed. This topic has been studied in research and has been a concern for firms making software investments. In order to study this we need a model of the underlying factors affecting the economic return. LÄS MER

3. 12. On Uncertainty and Data Worth in Decision Analysis for Contaminated Land

   Författare :Pär-Erik Back; Chalmers tekniska högskola; []
   Nyckelord :LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; uncertainty; decision analysis; risk; sampling; data worth; soil sampling; contaminated land;

   Sammanfattning : Contaminated soil and groundwater is a problem that has received increased attention in the last decade. Decision-making about investigation strategies, protective actions, and remedial actions is based on sparse and uncertain information, primarily data of contaminant concentrations and geological information. LÄS MER

4. 13. A visual query language served by a multi-sensor environment

   Författare :Karin Camara (Silvervarg); Erland Jungert; Genaro Costagliola; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; query language; command and control; spatial; temporal; uncertainty; sensor data independance; visual query language; sensor data source; Computer science; Datavetenskap;

   Sammanfattning : A problem in modern command and control situations is that much data is available from different sensors. Several sensor data sources also require that the user has knowledge about the specific sensor types to be able to interpret the data. LÄS MER

5. 14. Robustness During Learning, Interaction and Adaptation for Autonomous Driving

   Författare :Hannes Eriksson; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Reinforcement Learning; Epistemic Uncertainty; Uncertainty Quantification; Machine Learning; Autonomous Driving;

   Sammanfattning : In a sequential decision-making process, it is imperative to consider the potential risks of taking incorrect decisions throughout the whole process as all wrongdoings may not be possible to be remedied. This is particularly important when there are potentially catastrophic consequences. LÄS MER

7. 15. Modelling the terrestrial carbon cycle – drivers, benchmarks, and model-data fusion

   Författare :Zhendong Wu; Institutionen för naturgeografi och ekosystemvetenskap; []
   Nyckelord :Global carbon cycle; Ecosystem modeling; Uncertainty; LPJ-GUESS; Traceability Framework; Model-data fusion; Climate data;

   Sammanfattning : The terrestrial ecosystem sequesters about one-third of anthropogenic emissions each year, thereby providing a critical ecosystem service that slows the rate of increase of atmospheric carbon dioxide and helps mitigate climate change. Observed atmospheric carbon dioxide concentrations exhibit a large inter-annual variability which is considered to be caused primarily by the response of the terrestrial ecosystem to climate change and anthropogenic activity. LÄS MER