• Information in Local Curvature: Three Papers on Adaptive Methods in Computational Statistics 

  Lunde, Berent Ånund Strømnes (PhD thesis UiS;562, Doctoral thesis, 2020-11)

  Advanced statistical computations have become increasingly important, as with the increased flexibility of models capturing complex relationships in new data and use-cases, comes increased difficulties of fitting procedures ...

• Hvordan ble det kurdiske spørsmålet i Irak fra 1963 til 1992 framstilt i norske aviser? 

  Berg, Roald (Masteroppgave/UIS-HF-IKS/2020;, Master thesis, 2020-08-30)

  Denne masteravhandlingen tar for seg en det kurdiske spørsmålet i Irak fra 1960 årene fram til 1992. Med hovedfokus på det norske perspektivet fra norske medier.

• A LSSVR-PSO machine learning model for the estimation of reservoir porosity from petrophysical well logs 

  Luo, Zongqiang (Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-06-10)

  Reservoir porosity is a key parameter in the reservoir evaluation and geomechanics. To obtain accurate measurement of porosity can be time-consuming and expensive by core sampling or applying various well logging tools. ...

• Factors affecting the willingness to use car sharing service: A case study of Stavanger. 

  Quyen, Nguyen (Masteroppgave/UIS-HH/2020;, Master thesis, 2020-07-15)

  Car sharing, an emerging phenomenal innovation, has received increasing attention from both academia and business in recent decades. While car sharing is considered a potential lever for the shift towards sustainable ...

• Living Labs’ roles in digital health innovation – an empirical study on Norwegian Living Labs and start-ups 

  Huang, Hong (Masteroppgave/UIS-HH/2020;, Master thesis, 2020-07-27)

  The purpose of this master thesis is to clarify the roles of Living Labs and means of collaboration with companies in the digital health context. Interviews with three Living Labs and seven start-ups were organized to ...

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