• Factors influencing the use of an issue tracking system 

      Opheim, Ola Hermann (Master thesis, 2021)
      Programvareutvikling er en prosess som i mange tilfeller krever en utstrakt grad av korrdinering mellom arbeidskraft, systemkrav og arbeidsoppgaver. Kompleksiteten av dette koordineringsarbeidet øker ofte raskt når systemet ...
    • FADBM: Frequency-Aware Dummy-Based Method in Long-Term Location Privacy Protection 

      Liu, Jiabang; Jiang, Xutong; Zhang, Song; Wang, Hao; Dou, Wanchun (Chapter, 2020)
      With the rapid usage of location-based services (LBSs), protection of location privacy has become a significant concern. Existing dummy-based methods mainly consider generating dummies in continuous queries, which neglects ...
    • FADS: An Intelligent Fatigue and Age Detection System 

      Hijji, Mohammad; Yar, Hikmat; Ullah, Fath U Min; Alwakeel, Mohammed M.; Harrabi, Rafika; Aradah, Fahad; Alaya Cheikh, Faouzi; Muhammad, Khan; Sajjad, Muhammad (Peer reviewed; Journal article, 2023)
      Nowadays, the use of public transportation is reducing and people prefer to use private transport because of its low cost, comfortable ride, and personal preferences. However, personal transport causes numerous real-world ...
    • Fagopplegg for bruk av Lego Mindstorm Robolab og objektorientert programmering i et prosjektfag 

      Sandstrak, Grethe; Klefstad, Bjørn (HiST/AITeL-rapport, Research report, 2004)
      Denne rapporten viser hvordan man kan bruke Lego Mindstorm Robolab som case i et prosjektfag, samtidig som det støtter opp om grunnopplæringen i Javaprogrammering. Rapporten ser også nærmere på målsettingen med å ta dette ...
    • Failure Resilient Aggregation in Peer-to-Peer Query Networks 

      Ryeng, Norvald H. (Master thesis, 2006)
      Peer-to-peer systems are used as the foundation for constructing large-scale distributed query systems. This thesis addresses the loss of accuracy in the query result experienced when nodes fail in a peer-to-peer query ...
    • Fair allocation of conflicting items 

      Hummel, Halvard; Hetland, Magnus Lie (Peer reviewed; Journal article, 2021)
      We study fair allocation of indivisible items, where the items are furnished with a set of conflicts, and agents are not permitted to receive conflicting items. This kind of constraint captures, for example, participating ...
    • Fair Allocation of Mixed Divisible and Indivisible Goods: A Comparative Study 

      Utne, Sivert (Master thesis, 2023)
      Denne avhandlingen tar for seg utfordringen med å rettferdig fordele blandete delbare og udelelige varer ved å tilpasse etablerte algoritmer fra deres respektive fagfelt, samt å utvikle enkle polynomiske algoritmer til å ...
    • Fairest Neighbors: Tradeoffs Between Metric Queries 

      Hetland, Magnus Lie; Hummel, Halvard (Chapter, 2021)
      Metric search commonly involves finding objects similar to a given sample object. We explore a generalization, where the desired result is a fair tradeoff between multiple query objects. This builds on previous results on ...
    • Fake News Detection by Weakly Supervised Learning: A Content-Based Approach 

      From, Anja Rosvold; Netland, Ingvild Unander (Master thesis, 2021)
      Økt bruk av sosiale medier til lesing og deling av nyheter i kombinasjon med COVID-19-pandemien har resultert i en infodemi, som gjør utfordringen ved å oppdage falske nyheter mer relevant enn noen gang. Falske nyheter er ...
    • Fake News Detection by Weakly Supervised Learning: A Content-Based Approach 

      From, Anja Rosvold; Netland, Ingvild Unander (Master thesis, 2021)
      Økt bruk av sosiale medier til lesing og deling av nyheter i kombinasjon med COVID-19-pandemien har resultert i en infodemi, som gjør utfordringen ved å oppdage falske nyheter mer relevant enn noen gang. Falske nyheter er ...
    • Fake news on Facebook and their impact on supply chain disruption during COVID-19 

      Hossain, Mohammad Alamgir; Chowdhury, Md. Maruf Hossan; Pappas, Ilias; Metri, Bhimaraya; Hughes, Laurie; Dwivedi, Yogesh K. (Peer reviewed; Journal article, 2022)
      Social media (SM) fake news has become a serious concern especially during COVID-19. In this study, we develop a research model to investigate to what extent SM fake news contributes to supply chain disruption (SCD), and ...
    • False-Positive Reduction in Ontology Matching Based on Concepts’ Domain Similarity 

      Vennesland, Audun; Aalberg, Trond (Journal article; Peer reviewed, 2018)
      In this study we explore if considering the domain similarity between concepts to be matched can contribute filter out false positive relations. This is particularly relevant in areas where the “universe of discourse” ...
    • Family members and health care workers' perspectives on motivational factors of participation in physical activity for people with intellectual disability: A qualitative study 

      Michalsen, Henriette; Wangberg, Silje C; Anke, Audny; Hartvigsen, Gunnar; Jaccheri, Maria Letizia; Arntzen, Cathrine (Peer reviewed; Journal article, 2020)
      Background People with intellectual disabilities (ID) have lower levels of physical activity than the general population. The aim of this study was to understand the motivational factors of participation in physical ...
    • Fast and accurate GPU accelerated, high resolution 3D registration for robotic 3D reconstruction of compliant Food objects 

      Isachsen, Ulrich Johan; Theoharis, Theoharis; Misimi, Ekrem (Peer reviewed; Journal article, 2020)
      If we are to develop robust robot-based automation in primary production and processing in the agriculture and ocean space sectors, we have to develop solid vision-based perception for the robots. Accurate vision-based ...
    • Fast and accurate group outlier detection for trajectory data 

      Djenouri, Youcef; Nørvåg, Kjetil; Ramampiaro, Heri; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2020)
      Previous approaches to solve the trajectory outlier detection problem exclusively examine single outliers. However, anomalies in trajectory data may often occur in groups. This paper introduces a new problem, group trajectory ...
    • Fast Call Graph Profiling 

      Smithsen, Eirik (Master thesis, 2020)
      CPUer er ikke-spesialiserte chiper som kan utføre alle beregninger, og de er ikke optimalisert til å utføre noen beregninger mye raskere enn andre. Det er mulig å lage chiper som er optimaliserte til å utføre et begrenset ...
    • Fast chromatic adaptation transform utilizing Wpt (Waypoint) based spectral reconstruction 

      Derhak, Maxim W.; Luo, Eric Lin; Green, Philip John (Chapter, 2020)
      Burns previously showed that a chromatic adaptation transform (CAT) implemented using spectral reconstruction with lightness preserving produces comparable predictive results of corresponding color data sets as optimized ...
    • Fast Seeded Region Growing in a 3D Grid 

      Lorentzen, Erlend Andreas (Master thesis, 2011)
      The purpose of this thesis was to examine ways to adapt common 2D segmentation techniques to work with 3D grids. The focus of the thesis became how to automate and improve the performance of region growing in 3D grids. ...
    • Fast synchronization-free algorithms for parallel sparse triangular solves with multiple right-hand sides 

      Liu, Weifeng; Li, Ang; Hogg, Jonathan D; Duff, Iain S; Vinter, Brian (Journal article, 2017)
      The sparse triangular solve kernels, SpTRSV and SpTRSM, are important building blocks for a number of numerical linear algebra routines. Parallelizing SpTRSV and SpTRSM on today's manycore platforms, such as GPUs, is not ...
    • Fast Tree Rendering On The GPU 

      Kjær, Andreas Solem (Master thesis, 2005)
      Over the last few years, the computer graphics hardware has evolved extremely fast from supporting only a few fixed graphical algorithms to support execution of dynamic programs supplied by a developer. Only a few years ...