Blar i Institutt for matematiske fag på tittel

Viser treff 1753-1772 av 2527

    • Practical and tightly-secure digital signatures and authenticated key exchange 

      Gjøsteen, Kristian; Jager, Tibor (Journal article; Peer reviewed, 2018)
      Tight security is increasingly gaining importance in real-world cryptography, as it allows to choose cryptographic parameters in a way that is supported by a security proof, without the need to sacrifice efficiency by ...

    • Practical Isogeny-Based Key-Exchange with Optimal Tightness 

      de Kock, Bor; Gjøsteen, Kristian; Veroni, Mattia (Journal article; Peer reviewed, 2021)
      We exploit the Diffie-Hellman-like structure of CSIDH to build a quantum-resistant authenticated key-exchange algorithm. Our security proof has optimal tightness, which means that the protocol is efficient even when ...

    • Pre- and postprocessing flood forecasts using Bayesian model averaging 

      Hegdahl, Trine Jahr; Engeland, Kolbjørn; Steinsland, Ingelin; Singleton, Andrew (Peer reviewed; Journal article, 2023)
      In this study, pre- and postprocessing of hydrological ensemble forecasts are evaluated with a special focus on floods for 119 Norwegian catchments. Two years of ECMWF ensemble forecasts of temperature and precipitation ...

    • Precipitation forecasting using Radar Data 

      Botnen, Tore (Master thesis, 2009)
      The main task of this assignment is to filter out noise from a series of radar images and to carry out short term precipitation forecasts. It is important that the final routine is performed online, yielding new forecasts ...

    • Predicting bending moments with machine learning 

      Celledoni, Elena; Gustad, Halvor Snersrud; Kopylov, Nikita; Sundklakk, Henrik Sperre (Peer reviewed; Journal article, 2019)
      We investigate the possibility of predicting the bending moment of slender structures based on a limited number of deflection measurements. These predictions can help to estimate the wear and tear of the structures. We ...

    • Predicting cancer incidence in regions without population-based cancer registries using mortality 

      Retegui, Ragazi; Etxeberria, Jaione; Riebler, Andrea Ingeborg; Ugarte, Maria Dolores (Journal article; Peer reviewed, 2023)
      Cancer incidence numbers are routinely recorded by national or regional population-based cancer registries (PBCRs). However, in most southern European countries, the local PBCRs cover only a fraction of the country. ...

    • Predicting Credit Card Activity for Passive Customers 

      Strømseng, Sunniva Bjelland (Master thesis, 2023)
      Passive kredittkortkunder er et stort problem for kredittbanker. Kunder som åpner kredittkortkontoer og enten aldri bruker kredittkortet, eller stopper å bruke det, er kostbare. I slike situasjoner tjener ikke bankene på ...

    • Predicting Dry Bulk Vessel Destinations Using Historical AIS Data 

      Padel, Johannes (Master thesis, 2023)
      Den globale handelen og økonomiske veksten er sterkt avhengig av shippingindustrien, der tørrbulkfrakt spiller en nøkkelrolle. Denne formen for frakt håndterer transport av løst bulkgods, som korn, jern og kull, og er ...

    • Predicting Eliteserien using Regression Models 

      Larsen, Martin Valderhaug (Bachelor thesis, 2023)
      I denne avhandlingen forsøker vi å forutsi Eliteserien ved hjelp av flere lineære regresjonsmodeller og generaliserte lineære modeller. Vi starter med å finne to lett forståelige modeller som kan brukes av en vanlig ...

    • Predicting football tables by a maximally parsimonious model 

      Haugen, Kjetil K.; Owren, Brynjulf (Journal article; Peer reviewed, 2018)
      This paper presents some useful mathematical results concerned with football table prediction. In addition, some empirical results indicate that an alternative methodology for football table prediction may produce high ...

    • Predicting persistent weak layers in maritime regions in Norway using meteorological parameters 

      Aase, Markus J. (Master thesis, 2022)
      Skredvarslingen bruker ulike skredproblem for å skille mellom hva som kan forårsake et snøskred på en gitt dag. Et av de fem skredproblemene kalles vedvarende svake lag (PWL), et horisontalt lag inne i snødekket som er ...

    • Predicting Recovery Rates of Defaulted Credit Card Accounts 

      Harto, Anine (Master thesis, 2018)
      Monthly customers are sent to debt collection, where most of them are able to pay the demanded amount and are therefore reinstated as normal customers. However, some do not. These are the ones that constitute the main loss. ...

    • Predicting Relapse in Substance Use: Prospective Modeling Based on Intensive Longitudinal Data on Mental Health, Cognition, and Craving 

      Lauvsnes, Anders Dahlen Forsmo; Gråwe, Rolf W.; Langaas, Mette (Peer reviewed; Journal article, 2022)
      Patients with severe substance use disorders are often characterized by neurocognitive impairments and elevated mental health symptom load, typically associated with craving intensity and substance use relapse. There is a ...

    • Predicting Snow Density 

      Færevåg, Åshild (Master thesis, 2013)
      Snow density is an important measure in hydrological applications. It is used to convert snow depth to the snow water equivalent (SWE). A model developed by Sturm et al. (2010) predicts the snow density by using snow depth, ...

    • Predicting soil properties in the Canadian boreal forest with limited data: Comparison of spatial and non-spatial statistical approaches 

      Beguin, Julien; Fuglstad, Geir-Arne; Mansuy, Nicolas; Pare, David (Journal article; Peer reviewed, 2017)
      Digital soil mapping (DSM) involves the use of georeferenced information and statistical models to map predictions and uncertainties related to soil properties. Many remote regions of the globe, such as boreal forest ...

    • Predicting the Risk of Customers Redeeming Loans 

      Wilberg, Julie Madeleine (Master thesis, 2020)
      Lån er en nødvendighet for mye av den økonomiske aktiviteten i det moderne samfunn. Långiverne får inntekt fra renter og gebyrer, noe som innebærer at en kunde som innfrir lån representerer et inntektstap. Det er derfor ...

    • Prediction models for hypertension using the HUNT Study data 

      Schjerven, Filip (Master thesis, 2020)
      I denne oppgaven sammenlignes forskjellige modellfamiliers evne til å predikere 11-års risikoen for binær hypertensjon status, ved bruk av data fra helseundersøkelsen i Trøndelag, HUNT. Modellfamiliene som ble valgt var ...

    • Prediction Models of Systolic Blood Pressure Based on HUNT Study Data 

      Nilsen, Fride Nordstrand (Master thesis, 2020)
      I denne oppgaven blir prediksjonsmodeller for systolisk blodtrykk foreslått, implementert, evaluert og sammenlignet med Framingham modellen, basert på data fra Helseundersøkelsen i Trøndelag, heretter forkortet til ...

    • Prediction of large price changes in the energy market using extreme value statistics 

      Le, Minxian (Master thesis, 2011)
      In this project we have first and foremost been comparing the performance of the ACER method with the POT method in the prediction of extreme values from the heavy tailed distributions; especially for data from the energy ...

    • Prediction of Lithology/Fluid Classes from Petrophysical and Elastic Observations 

      Straume, Elisabeth (Master thesis, 2012)
      The objective of this study is to classify lithology/fluid(LF) variables along depth profiles. The classification is done by a Bayesian inversion method to obtain the posterior probability density functions(PDFs) for the ...