• CritLit-prosjektets forskningsdesign og empiriske grunnlag 

  Kvåle, Gunhild; Veum, Aslaug (Chapter; Peer reviewed, 2024)

  Kapittelet presenterer forskningsdesignen og det empiriske grunnlaget for CritLit-prosjektet. Det redegjør for prosjektets målsettinger, problemstillinger og hovedsteg, og for den metodiske tilnærmingen og framgangsmåten. ...

• Enhancing multiclass COVID-19 prediction with ESN-MDFS: Extreme smart network using mean dropout feature selection technique 

  Ahmed, Saghir; Raza, Basit; Hussain, Lal; Sadiq, Touseef; Dutta, Ashit Kumar (Peer reviewed; Journal article, 2024)

  Deep learning and artificial intelligence offer promising tools for improving the accuracy and efficiency of diagnosing various lung conditions using portable chest x-rays (CXRs). This study explores this potential by ...

• Networking the documentational approach and Valsiner's zone theory 

  Sødal, Amalie (Chapter, 2023)

  The documentational approach to didactics (DAD) and Valsiner’s zone theory are combined to increase explanatory power when exploring pre-service teachers’ professional development. The strategy of combining is applied, ...

• Post-marketing surveillance study of creatine-guanidinoacetic acid safety in healthy adults 

  Ranisavljev, Marijana; Todorovic, Nikola; Stajer, Valdemar; Ostojic, Sergej (Peer reviewed; Journal article, 2024)

  A post-marketing surveillance study assessed the adverse events and possible risk of elevated homocysteine levels after the supplementation with creatine-guanidinoacetic acid mixture in apparently healthy adults. The ...

• Multivariate singular spectrum analysis and detrended fluctuation analysis for plant-wide oscillations denoising 

  Bounoua, Wahiba; Aftab, Muhammad Faisal (Journal article; Peer reviewed, 2024)

  Oscillations are considered the most important indicator of poorly performing control loops. However, noise and other disturbances conceal these oscillations, thus making the detection task quite difficult. Furthermore, ...

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