• 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 ...
    • Assessment and comparison of target registration accuracy in surgical instrument tracking technologies 

      Teatini, Andrea; Perez de Frutos, Javier; Langø, Thomas; Edwin, Bjørn; Elle, Ole Jacob (Journal article; Peer reviewed, 2018)
      Image guided surgery systems aim to support surgeons by providing reliable pre-operative and intra-operative imaging of the patient combined with the corresponding tracked instrument location. The image guidance is based ...
    • Assessment and Design of Color Vision Deficiency Simulation and Daltonization Methods 

      Simon-Liedtke, Joschua Thomas (Doctoral theses at NTNU;2017:8, Doctoral thesis, 2017)
      Color vision in humans evolved because it improves behavioral responses related, for example, to the guidance of attention, object recognition and detection of emotional states. However, people with color vision deficiencies ...
    • Assessment and feedback across various outcomes in project-courses: A department-wide study 

      Hansen, Gabrielle; Sindre, Guttorm (Peer reviewed; Journal article, 2023)
      Project-based learning plays a central part in many study programs in technology and engineering and have demonstrated success both in motivating students and promoting effective learning both of technical engineering ...
    • Assessment and Implementation of a Modern RMM System 

      Tortoise, Colin F. (Bachelor thesis, 2021)
      Prosjektoppgaven utforsker og dokumenterer gjennomføringen av et «remote monitoring and management» system. I etterkant av innføring av nye produktfunksjoner ble disse analysert av prosjektansvarlig for å redegjøre den ...
    • Assessment of composite motif discovery methods 

      Klepper, Kjetil; Sandve, Geir Kjetil; Abul, Osman; Johansen, Jostein; Drabløs, Finn (Journal article; Peer reviewed, 2008)
      Background: Computational discovery of regulatory elements is an important area of bioinformatics research and more than a hundred motif discovery methods have been published. Traditionally, most of these methods have ...
    • Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame 

      Vonstad, Elise Klæbo; Su, Xiaomeng; Vereijken, Beatrix; Bach, Kerstin; Nilsen, Jan Harald (Peer reviewed; Journal article, 2021)
      In exercise gaming (exergaming), reward systems are typically based on rules/templates from joint movement patterns. These rules or templates need broad ranges in definitions of correct movement patterns to accommodate ...