• F2c2C-DM: A Fog-to-cloudlet-to-Cloud Data Management Architecture in Smart City 

      Sinaeepourfard, Amir; Krogstie, John; Petersen, Sobah Abbas; Ahlers, Dirk (Chapter, 2019)
      Smart city solutions make a high-level technological innovation in a city to expand their citizens' quality of life by several different technological management strategies (such as resource management and data management) ...
    • F@T - Fastpris @ Team G.E.D. 

      Andreassen, Kristian G.; Eng, Pål Erik; Hatlelid, Rune; Mellem, Erik (Bachelor thesis, 2002)
      Hovedprosjektet hadde til formål å analysere, systemere, designe, kode og teste et system som skal forenkle arbeidet med å fastsette korrekt pris på ulike bilservicer. Hensikten var å finne en fastpris på en gitt service, ...
    • FABULA-learning in a wireless city: Learning in the City 

      Johansen, Arnstein (Master thesis, 2008)
      This thesis looks into the literature in the fields of informal learning, mobile learning and mobile games. A demonstrator is build to test the effect of informal learning and the use of collaborative games in a learning context.
    • Face Image Quality Assessment 

      Demloj, Walid; Grosberghaugen, Kjetil; Skattum, Julian Nyland; Taralrud, Hans Petter Fauchald (Bachelor thesis, 2021)
      Ytelsen på ansiktgjenkjenningssystmer er avhengig av kvaliteten på bildene for å kunne teste og trene disse systemene. For å automatisk vurdere kvaliteten på ansiktsbilder blir Face Image Quality Metrics (FIQMs) benyttet. ...
    • Face Recognition 

      Haugen, Liv Merete; Olavsbråten, Inge (Master thesis, 2007)
      Machine based face recognition has been a popular research area for several years, and has numerous applications. This technology has now reached a point where there already exists good algorithms for recognition for ...
    • Face Recognition for Access Control Using Deep Neural Networks on Mobile Devices 

      Zakariassen, Line (Master thesis, 2018)
      The Telenor-NTNU AI Lab would like to use facial detection as access control for their Lab. A proposed way of doing this is to mount a mobile device, like a tablet, outside the lab and run a facial recognition application ...
    • Facebook: integrering av sosiale spill 

      Gundersen, Jan Fredrik; Johannessen, Sondre T. (Bachelor thesis, 2015)
      NORSK: NTSosial er en webapplikasjon utviklet som en prototype med mål om å knytte sammen Facebook med Norsk Tipping sitt spillelagskonsept. Applikasjonen gir brukere mulighet til å være medlem av spillelag, foreslå ...
    • Faces Don’t Lie: Analysis of Children’s Facial expressions during Collaborative Coding 

      Sharma, Kshitij; Papavlasopoulou, Sofia; Giannakos, Michail (Chapter, 2021)
      Educational research has used the information extracted from facial expressions to explain learning performance in a variety of educational settings like collaborative learning. Leveraging this, we extracted the emotions ...
    • Facial Emotion Recognition Using Hybrid Features 

      Ullah, Mohib; Alreshidi, Abdulrahman (Peer reviewed; Journal article, 2020)
      Facial emotion recognition is a crucial task for human-computer interaction, autonomous vehicles, and a multitude of multimedia applications. In this paper, we propose a modular framework for human facial emotions’ ...
    • Facilitating and Advancing Universal Design of ICT 

      Begnum, Miriam Eileen Nes (Doctoral theses at NTNU;2019:311, Doctoral thesis, 2019)
      Background: In modern societies, the consequences of digital exclusion are severe. Legislation on Universal Design (UD) reflects socio-economic, democratic and ethical reasons for ensuring all citizens are able to use ...
    • Facilitating learning and startup formation in experience-based courses — A team-centered model 

      Cico, Orges; Jaccheri, Maria Letizia; Nguyen Duc, Anh (Peer reviewed; Journal article, 2021)
      Context: This full research paper presents an experience-based course designed around a semester-long external Innovation Bootcamp. Objective: We evaluated the impact of the Innovation Bootcamp on students’ learning and ...
    • Factorization models with relational and contextual information 

      da Silva, Eliezer de Souza (Doctoral theses at NTNU;NTNU, 2021:286, Doctoral thesis, 2021)
      The increasing availability of interconnected multi-modal information sources motivates the development of novel probabilistic models for recommender system that can leverage context present in relational data. Thus, we ...
    • Factors affecting teens' academic engagement in computational thinking activities 

      Nguyen, Uyen Dan (Master thesis, 2018)
      In our increasingly technological society, computational thinking is considered vital despite future career choices. Computational thinking can develop and enhance unique thinking skills, and educators all over the world ...
    • 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 ...
    • 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 ...
    • 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 ...