• Artificial intelligence in the fertility clinic: status, pitfalls and possibilities 

      Riegler, Michael Alexander; Stensen, Mette Haug; Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Delbarre, Erwan; Halvorsen, Pål; Yazidi, Anis; Holst, Nicolai; Haugen, Trine B. (Journal article; Peer reviewed, 2021)
      In recent years, the amount of data produced in the field of ART has increased exponentially. The diversity of data is large, ranging from videos to tabular data. At the same time, artificial intelligence (AI) is progressively ...
    • Artificial intelligence in the game of Quoridor 

      Birketvedt, Alfred (Master thesis, 2019)
      I de siste ti˚arene har brettspill f˚att mye oppmerksomhet innenfor datavitenskapen og kunstig intelligens. Denne masteroppgaven setter søkelys p˚a kunstig intelligens i Quoridor som er et nullsum-spill for to spillere. ...
    • Artificial Intelligence in the Public Sector: A Study of Challenges and Opportunities for Norwegian Municipalities 

      Mikalef, Patrick; Fjørtoft, Siw Olsen; Torvatn, Hans Yngvar (Journal article; Peer reviewed, 2019)
      The value of Artificial Intelligence (AI) in augmenting or even replacing human decision-making in the organizational context is gaining momentum in the last few years. A growing number of organizations are now experimenting ...
    • Artificial Intelligence Techniques in Real-Time Strategy Games - Architecture and Combat Behavior 

      Stene, Sindre Berg (Master thesis, 2006)
      The general purpose of this research is to investigate the possibilities offered for the use of Artificial Intelligence theory and methods in advanced game environments. The real-time strategy (RTS) game genre is investigated ...
    • Artificial Neural Networks as a Monitoring System in Linux 

      Grønnesby, Øyvind (Master thesis, 2007)
      This thesis attempts to show how artificial neural networks can be used to implement computer monitoring systems based on internal state in the operating system running on the computer. Through experiments it will show how ...
    • Artsgjenkjenning av fisk 

      Nordølum, Birger Johan; Lavik, Eirik Osland; Haugen, Kristian André Dahl; Kvalvaag, Tom-Ruben Traavik (Bachelor thesis, 2021)
      Norsk institutt for naturforskning (NINA) ønsket en løsning som kunne automatisk gjenkjenne arter i undervannsvideo og gi de grunnleggende statistikk om aktiviten i videoene. Dette prosjektet undersøker muligheter for å ...
    • Aspect-based Sentiment Analysis 

      Kristiansen, Tommy (Master thesis, 2018)
      In this thesis a genetic algorithm is used to evolve syntax-patterns that can tell which parts of a sentence that is relevant or irrelevant with regards to sentiment analysis towards a given entity in the sentence.
    • ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems 

      Alkhabbas, Fahed; Alsadi, Mohammed; Alawadi, Sadi; Awaysheh, Feras M.; Kebande, Victor R.; Moghaddam, Mahyar T. (Peer reviewed; Journal article, 2022)
      Internet of Things (IoT) systems are complex systems that can manage mission-critical, costly operations or the collection, storage, and processing of sensitive data. Therefore, security represents a primary concern that ...
    • Assessing cognitive performance using physiological and facial features: Generalizing across contexts 

      Sharma, Kshitij; Niforatos, Evangelos; Giannakos, Michail; Kostakos, Vassilis (Peer reviewed; Journal article, 2020)
      Sensing and machine learning advances have enabled the unobtrusive measurement of physiological responses and facial expressions so as to estimate one's cognitive performance. This often boils down to mapping the states ...
    • Assessing cyber threats for storyless systems 

      Meland, Per Håkon; Nesheim, Dag Atle; Bernsmed, Karin; Sindre, Guttorm (Peer reviewed; Journal article, 2021)
      A proper assessment of potential cyber threats is vital for security decision-making. This becomes an even more challenging task when dealing with new system designs and industry sectors where there is little or no historical ...
    • Assessing data access layers for PostNord: A comparative analysis on database solutions for big data models 

      Hoelseter, Fredrik; Husøy, Jonas Klinge; Kaspersen, Stian Bergsvåg; Lundquist, Daniel Sebastian Storsve (Bachelor thesis, 2023)
      Den konstante utviklingen av teknologi fører til at systemer gradvis blir utdaterte og foreldede med mindre de blir vedlikeholdt og oppdatert på riktig måte. Å bestemme hvilke rammeverk og verktøy man skal bruke er en av ...
    • Assessing interoperability in Internet of Things ecosystems 

      Dølvik, Lars Bendik (Master thesis, 2017)
      The Internet of Things has been a familiar term for quite some time. Connecting devices to track, monitor, enhance, augment and interact with the real world have opened doors for new services which previously was not ...
    • Assessing Motivational Differences Between Young and Older Adults When Playing an Exergame 

      Subramanian, Sruti; Dahl, Yngve; Skjæret-Maroni, Nina; Vereijken, Beatrix; Svanæs, Dag (Peer reviewed; Journal article, 2019)
      Background: Currently, exergames are used by different age groups for both recreational and training/rehabilitation purposes. However, little is known about how to design exergames so that they are motivating for specific ...
    • Assessing Organizational Users’ Intentions and Behavior to AI Integrated CRM Systems: a Meta-UTAUT Approach 

      ChatterjeeSheshadri, Sheshadri; Rana, Nripendra P.; Khorana, Sangeeta; Mikalef, Patrick; Sharma, Anuj (Peer reviewed; Journal article, 2021)
      This paper tests the meta-analysis based unified theory of acceptance and use of technology (meta-UTAUT) model to predict the behavioral intentions of organizational users and their use behavior to artificial intelligence ...
    • Assessing Ranking Models’ Behavior for Semantic Entity Retrieval 

      Gjerde, Martin Bondkall; Fingarsen, Ebba Louise Toreld (Master thesis, 2021)
      I dag lagres en økende mengde informasjon på en strukturert eller halvstrukturert måte. Semantiske data er en konseptuell modell for strukturering av data som karakteristisk inneholder en liten mengde tekst sparsomt fordelt ...
    • Assessing Ranking Models’ Behavior for Semantic Entity Retrieval 

      Gjerde, Martin Bondkal; Fingarsen, Ebba Louise Toreld (Master thesis, 2021)
      I dag lagres en økende mengde informasjon på en strukturert eller halvstrukturert måte. Semantiske data er en konseptuell modell for strukturering av data som karakteristisk inneholder en liten mengde tekst sparsomt fordelt ...
    • Assessing Student Behavior in Computer Science Education with an fsQCA Approach: The Role of Gains and Barriers 

      Pappas, Ilias; Giannakos, Michail; Jaccheri, Maria Letizia; Sampson, Demetrios G (Journal article; Peer reviewed, 2017)
      This study uses complexity theory to understand the causal patterns of factors that stimulate students’ intention to continue studies in computer science (CS). To this end, it identifies gains and barriers as essential ...
    • Assessing the Effects of Digitalization using Log Data 

      Kirstihagen, Dag (Master thesis, 2022)
      Digitalisering er utbredt i dagens samfunn, og mange bedrifter prøver å utnytte mulighetene som digitalisering åpner for. Å vurdere om prosessen har vært vellykket er det relevant å måle resultatene av digitalisering opp ...
    • Assessing the Quality of Videoconferencing: from Quality of Service to Quality of Communication 

      Shahid, Mohammed; Abebe, Mekides Assefa; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2018)
      Various approaches for the assessment of quality of experience for video conferencing exist that try to quantify the level of satisfaction of the user. In order for videoconferencing to really succeed as a substitute of ...
    • Assessing the robustness of critical behavior in stochastic cellular automata 

      Pontes Filho, Sidney; Lind, Pedro; Nichele, Stefano (Peer reviewed; Journal article, 2022)
      There is evidence that biological systems, such as the brain, work at a critical regime robust to noise, and are therefore able to remain in it under perturbations. In this work, we address the question of robustness of ...