• F-CBR: An Architecture for Federated Case-Based Reasoning 

      Jaiswal, Amar; Yigzaw, Kassaye Yitbarek; Øzturk, Pinar (Journal article; Peer reviewed, 2022)
      Case-based reasoning (CBR) is a problem-solving methodology in artificial intelligence that attempts to solve new problems using past experiences known as cases. Experiences collected in a single case base from an institution ...
    • 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 Different Approaches to Learning Anatomy in an Augmented Reality Environment 

      Haugum, Mathilde Haukø; Woldseth, Miriam Vaarum (Master thesis, 2022)
      Mengden kunnskap som skal læres innenfor medisin og helsefag øker hele tiden, noe som fører til større krav for hva studenter innenfor disse feltene er forventet å lære. Disse større kravene fremmer behovet for alternative ...
    • Facilitating Different Approaches to Learning Anatomy in an Augmented Reality Environment 

      Haugum, Mathilde Haukø; Woldseth, Miriam Vaarum (Master thesis, 2022)
      Mengden kunnskap som skal læres innenfor medisin og helsefag øker hele tiden, noe som fører til større krav for hva studenter innenfor disse feltene er forventet å lære. Disse større kravene fremmer behovet for alternative ...
    • Facilitating for Improvement of Teamwork Skills in Software Engineering Education 

      Almestad, Jenny (Master thesis, 2022)
      En kontinuerlig utfordring i dagens utdanningssystem er å minske gapet mellom det som undervises i dataingeniørutdanning, og det arbeidsgivere ser etter når de ansetter. Studenter må utvikle ferdighetene og kunnskapene som ...
    • 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 ...
    • Facilitators and Inhibitors of Agile Methods Adoption: Practitioners View 

      Mishra, Deepti; Mishra, Alok; Abdalhamid, Samia (Peer reviewed; Journal article, 2023)
      This study provides empirical evidence to the body of knowledge in Agile methods adoption in small, medium, and large organizations in the global context. This research explores facilitators and inhibitors of Agile methods ...
    • 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 for Adopting Confidential Computing – A Qualitative Case Study 

      Marum, Mads; Nordal, Liv (Bachelor thesis, 2022)
      Abstract will be available on 2025-05-20
    • 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 ...