Now showing items 428-447 of 1103

    • Frå transistor til datamaskin 

      Tengesdal, Morten (Notater fra Universitetet i Stavanger;39, Report, 2018-04)
      Dette skrivet prøver å gi ei forståing av korleis datamaskinar er oppbygde og virkar. Ein ser også på korleis ein kan programmera mindre datamaskinar brukte til styring og overvaking av prosessar. Skrivet er laga for bruk ...
    • From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track 

      Lajewska, Weronika; Balog, Krisztian (Chapter, 2023)
      This paper reports on an effort of reproducing the organizers’ baseline as well as the top performing participant submission at the 2021 edition of the TREC Conversational Assistance track. TREC systems are commonly regarded ...
    • Frontal-Profile Face Recognition Using Deep Learning Algorithms 

      Karimi Mahboubeh (Master thesis, 2023)
      This study investigates the impact of pose variation, particularly extreme poses such as the profile view, on the performance of biometric recognition systems. The study employs the Local Binary Pattern (LBP) approach in ...
    • FRP pipeline performance in tensional and torsional S-lay installation loads 

      Pavlou, Dimitrios (Peer reviewed; Journal article, 2021)
      The loading conditions of a composite pipeline is the main factor for its dimensioning. During S-lay offshore installation of multilayered FRP pipelines, severe tensional and torsional loads take place in the above sea ...
    • Fully Automated Graphical User Interface Testing with Virtual Machines 

      Dongjing, Liu (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
      An approach, entitled fully automated GUI testing with virtual machines is proposed in the thesis. Currently, GUI testing relies a lot on human involvement due to its unique properties. The thesis tries to address the ...
    • Further Developing a Procedural Digital Twin for Road Tunnels 

      Tennø, Sondre (Master thesis, 2022)
      A Digital Twin is a close to as possible replica of a real world application, in the digital world. The Digital Twin aims to simulate a process, in real time so the user can generate information and value from the process. ...
    • Fusion-based information retrieval 

      Zhang, Shuo (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-14)
      Information retrieval technique assists us to extract information from a huge amount of information sources. Web search engine is a typically commercial system implementing information retrieval technique and receiving ...
    • Fuzz testing av et BFT system 

      Salhus, Asbjørn; Brandsegg, Magnus (Bachelor thesis, 2023)
      Blockchain-teknologi blir stadig mer utbredt, og det bringer med seg nye sikkerhetsproblemer. På grunn av strukturen til disse distribuerte systemene, er manuelle testemetoder tidkrevende og de overser ofte mange grensetilfeller ...
    • Fuzzy kontroll av en 3DOF hover 

      Hamborg, Sander; Årvik, Daniel (Bachelor thesis, 2022)
      Denne oppgaven omhandler design av et fuzzy kontrollsystem for 3DOF hover systemet produsert av Quanser. Menneskesinnet er flink til å ta avgjørelser basert på estimert og unøyaktig informasjon. Vi kan bruke ord som "veldig ...
    • Fuzzy kontroll av en 3DOF hover 

      Årvik, Daniel; Hamborg, Sander (Bachelor thesis, 2022)
      Denne oppgaven omhandler design av et fuzzy kontrollsystem for 3DOF hover systemet produsert av Quanser. Menneskesinnet er flink til å ta avgjørelser basert på estimert og unøyaktig informasjon. Vi kan bruke ord som "veldig ...
    • Gain-scheduled observer-based consensus for linear parameter varying multi-agent systems 

      Rotondo, Damiano; Ponsart, Jean-Christophe; Theilliol, Didier (Peer reviewed; Journal article, 2022)
      This paper investigates the gain-scheduled observer-based consensus of linear parameter varying (LPV) multi-agent systems (MASs). The main contribution of the paper is that, differently from LPV observer-based consensus ...
    • Gamifying Fact-Checking: Development of a Personalised Dashboard for Factiverse Applications 

      Blikeng, Odin Fasteland; Eliassen, Tore Henriksen (Bachelor thesis, 2023)
      In today’s world, where misinformation spreads rampantly, the pressing need for reliable fact-checking solutions is greater than ever. Manual fact-checking is a daunting task, emphasising the need for efficient and engaging ...
    • Gamifying Fact-Checking: Development of a Personalised Dashboard for Factiverse Applications 

      Eliassen, Tore Henriksen; Blikeng, Odin Fasteland (Bachelor thesis, 2023)
      In today's world, where misinformation spreads rampantly, the pressing need for reliable fact-checking solutions is greater than ever. Manual fact-checking is a daunting task, emphasising the need for efficient and engaging ...
    • Garmin applikasjon for analyse av helsedata 

      Hvitsten, Eirik.; Hansen, Sigurd Grøvdal.; Gulbrandsen, Magnus. (Bachelor thesis, 2021)
      Denne bacheloroppgaven går ut på lage en applikasjon som skal brukes på en Garmin-smartklokke. Applikasjonen bruker de to maskinlæringsmetodene lineær regresjon og bestemmelsestre til å komme fram til om en person har ...
    • Garmin applikasjon for analyse av helsedata 

      Hvitsten, Eirik; Gulbrandsen, Magnus; Hansen, Sigurd Grøvdal (Bachelor thesis, 2021)
      Denne bacheloroppgaven går ut på lage en applikasjon som skal brukes på en Garmin-smartklokke. Applikasjonen bruker de to maskinlæringsmetodene lineær regresjon og bestemmelsestre til å komme fram til om en person har ...
    • Garmin applikasjon for analyse av helsedata 

      Hvitsten, Eirik; Gulbrandsen, Magnus; Hansen, Sigurd Grøvdal (Bachelor thesis, 2021)
      Denne bacheloroppgaven går ut på lage en applikasjon som skal brukes på en Garmin-smartklokke. Applikasjonen bruker de to maskinlæringsmetodene lineær regresjon og bestemmelsestre til å komme fram til om en person har ...
    • Gene splice site prediction using Artificial Neural Networks 

      Johansen, Øystein (Masteroppgave/UIS-TN-IDE/2008, Master thesis, 2008)
      Gene prediction is the process of finding the location of genes and other meaningful subsequences in DNA sequences. This process is time consuming and expensive when done by biochemical methods and genetics. An other approach ...
    • Generalized vs Specialized activity recognition system for newborn resuscitation videos using Deep Neural Networks. 

      Aboaja, Chukwudi (Master thesis, 2021)
      Birth asphyxia is a global problem which has resulted in a high mortality rate of newborn babies all over the globe, it is a newborn’s inability to establish breathing at birth. A notable breakthrough is the marrying of ...
    • Generating Retro Video Game Music Using Deep Learning Techniques 

      Book, Magnus Særsten (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019)
      Music generation using deep learning is a widely studied field. This thesis focuses on music generation in a constrained and novel environment; retro video game music. The constraints imposed by the environment creates ...
    • Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems 

      Kostric, Ivica; Balog, Krisztian; Radlinski, Filip (Journal article, 2023)
      A key distinguishing feature of conversational recommender systems over traditional recommender systems is theirability to elicit user preferences using natural language. Currently, the predominant approach to preference ...