Now showing items 378-397 of 2359

    • Codes in Algebras 

      Bjørshol, Helene Tuft (Master thesis, 2023)
      Vi viser, ved hjelp av teorien om automorfier til utvidede kvadratiske restkoder, at den utvidede binære Golay-koden er et ideal i gruppealgebraen til den symmetriske gruppen på $4$ elementer over $\mathbb{Z}_2$. Vi utnytter ...
    • Coefficient estimates for $H^p$ spaces with $0<p<1$ 

      Brevig, Ole Fredrik; Saksman, Eero (Peer reviewed; Journal article, 2020)
      Let C(k,p) denote the smallest real number such that the estimate |ak| ≤C(k,p)‖f‖Hp holds for every f(z) =∑n≥0anzn in the Hp space of the unit disc. We compute C(2,p)for0<p<1andC(3,2/3), and identify the functions attaining ...
    • Coexistence of large mammals and humans is possible in Europe’s anthropogenic landscapes 

      Cretois, Benjamin; Linnell, John Durrus; Van Moorter, Bram; Kaczensky, Petra; Nilsen, Erlend Birkeland; Parada, Jorge Sicacha; Rød, Jan Ketil (Journal article; Peer reviewed, 2021)
      A critical question in the conservation of large mammals in the Anthropocene is to know the extent to which they can tolerate human disturbance. Surprisingly, little quantitative data is available about large-scale effects ...
    • Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits 

      Gilly, Arthur; Suveges, Daniel; Kuchenbaecker, Karoline; Pollard, Martin; Southam, Lorraine; Hatzikotoulas, Konstantinos; Farmaki, Aliki-Eleni; Bjørnland, Thea; Waples, Ryan; Appel, Emil; Casalone, Elisabetta; Melloni, Giorgio; Kilian, Britt; Rayner, William; Ntalla, Ioanna; Kundu, Kousik; Walter, Klaudia; Danesh, John; Butterworth, Adam; Barroso, Ines; Tsafantakis, Emmanouil; Dedoussis, George; Moltke, Ida; Zeggini, Eleftheria (Journal article; Peer reviewed, 2018)
      The role of rare variants in complex traits remains uncharted. Here, we conduct deep whole genome sequencing of 1457 individuals from an isolated population, and test for rare variant burdens across six cardiometabolic ...
    • Colourful Cohomology 

      Trygsland, Paul André Dillon (Master thesis, 2017)
      The thesis starts out by explaining connections between graph theory, category theory and homology. Thereafter, the very abstract is translated into geometrical concepts, simplicial cohomology is especially derived. ...
    • Combining Artificial Neural Networks with Reduced Order Models with Applications to Classification Problems 

      Breivik, Liv (Master thesis, 2023)
      Denne avhandlingen er en konseptutføring for reduksjonsteknikker for nevrale nettverk. Modellen som er blitt redusert er VGG-16-modellen, som er trent på augmenterte versjoner av både CIFAR-10-datasettet og SVHN-datasettet. ...
    • Combining Gmsh and MRST - Developing software for more efficient grid creation in two dimensions 

      Berg, Andreas Bjelland (Bachelor thesis, 2022)
      Det kan være svært utfordrende å skape presise, nøyaktige grid-representasjoner av virkelige, kontinuerlige domener. Dette er spesielt sant når det kommer til modellering av geologiske formasjoner, ettersom de har en tendens ...
    • Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach 

      Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer (Peer reviewed; Journal article, 2022)
      Upcoming technologies like digital twins, autonomous, and artificial intelligent systems involving safety–critical applications require accurate, interpretable, computationally efficient, and generalizable models. ...
    • Combining the MAX test with methods for Family-wise error rate 

      Risberg, Marita (Master thesis, 2008)
      In chapter 1 the necessary biological background for this thesis is provided. Here the definition of a SNP is provided and the connection between the human genom, DNA and SNPs. Chapter 2 gives the notation and definitions ...
    • Comment on “A global-scale ecological niche model to predict SARS-CoV-2 coronavirus infection rate”, author Coro 

      Contina, Andrea; Yanco, Scott; Pierce, Allison; DePrenger-Levin, Michelle; Wunder, Michael; Neophytou, Andreas; Lostroh, C. Phoebe; Telford, Richard; Benito, Blas; Chipperfield, Joseph; OHara, Robert Brian; Carlson, Colin (Peer reviewed; Journal article, 2020)
      In this letter we present comments on the article “A global-scale ecological niche model to predict SARS-CoV-2 coronavirus” by Coro published in 2020.
    • Community Detection in Large Social Networks 

      Olsen, Mats Julian (Master thesis, 2014)
      I denne masteroppgaven implementeres og testes to algoritmer for å finne gruppe- struktur i nettverk, nemlig Louvain-metoden og Diffusion and Propagation-metoden. Et nettverks gruppestruktur består av en naturlig inndeling ...
    • Compact and Tightly Selective-Opening Secure Public-key Encryption Schemes 

      Pan, Jiaxin; Zeng, Runzhi (Peer reviewed; Journal article, 2022)
      We propose four public-key encryption schemes with tight simulation-based selective-opening security against chosen-ciphertext attacks (SIM-SO-CCA) in the random oracle model. Our schemes only consist of small constant ...
    • Compact composition operators with non-linear symbols on the H2 space of Dirichlet series 

      Bayart, Frederic; Brevig, Ole Fredrik (Journal article; Peer reviewed, 2017)
      We investigate compactness of composition operators on the Hardy space of Dirichlet series induced by a map φ(s)=c0s+φ0(s), where φ0 is a Dirichlet polynomial. Our results depend heavily on the characteristic c0 of φ and, ...
    • Compact Structure-Preserving Signatures with Almost Tight Security 

      Abe, Masayuki; Hofheinz, Dennis; Nishimaki, Ryo; Ohkubo, Miyako; Pan, Jiaxin (Peer reviewed; Journal article, 2023)
      In structure-preserving cryptography, every building block shares the same bilinear groups. These groups must be generated for a specific, a priori fixed security level, and thus, it is vital that the security reduction ...
    • Compactly Generated Triangulated Categories and the Telescope Conjecture 

      Stovicek, Jan (Doktoravhandlinger ved NTNU, 1503-8181; 2009:188, Doctoral thesis, 2009)
      The thesis studies the telescope conjecture for algebraic compactly generated triangulated categories. The conjecture, which says that every smashing localization of a compactly generated triangulated category is generated ...
    • Comparative Study of the Path Integration Method and the Stochastic Averaging Method for Nonlinear Roll Motion in Random Beam Seas 

      Chai, Wei; Dostal, Leo; Næss, Arvid; Leira, Bernt Johan (Journal article; Peer reviewed, 2017)
      In this work, the path integration method and the energy-based stochastic averaging method are introduced in order to study the stochastic responses of ship roll motion in random beam seas. Based on the Markov property of ...
    • Comparing Global and Local Specification of Spatially Varying Anisotropy 

      Isaksen, Mathias Leander (Master thesis, 2020)
      I denne oppgaven tar vi for oss to tilnærminger til ikke-stasjonær romlig modellering med gaussiske stokastiske felt (GRF-er), og sammenligner disse. Den første tilnærmingen tar i bruk en stokastisk partiell differensialligning ...
    • Comparing the ACER and POT MCMC Extreme Value Statistics Methods Through Analysis of Commodities Data 

      Rødvei, Kristoffer Kofoed (Master thesis, 2016)
      The Average Conditional Exceedance Rate and Peak Over Threshold Markov Chain Monte Carlo are two extreme value statistical methods, compared in this work. They are tested for both extrapolations and prediction intervals. ...
    • Comparision of methods and software tools for availability assessment of production systems 

      Vesteraas, Astrid Hetland (Master thesis, 2008)
      This thesis presents and considers several different methods for computation of availability and production availability for production system. It is assumed that the system handles flow of a fluid. The thesis presents two ...
    • Comparison of ACER and POT Methods for estimation of Extreme Values 

      Dahlen, Kai Erik (Master thesis, 2010)
      Comparison of the performance of the ACER and POT methods for prediction of extreme values from heavy tailed distributions. To be able to apply the ACER method to heavy tailed data the ACER method was first modified to ...