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    • Full Reference Image Quality Assessment using Siamese Neural Network 

      Islam, Akib Jayed (Master thesis, 2023)
      This study aims to explore the application of Siamese Neural Networks (SNN) in Full-Reference Image Quality Assessment (FR-IQA). The goal is to develop an efficient and accurate model to predict perceived image quality and ...

    • Full-Text Search in XML Databases 

      Skoglund, Robin (Master thesis, 2009)
      The Extensible Markup Language (XML) has become an increasingly popular format for representing and exchanging data. Its flexible and exstensible syntax makes it suitable for representing both structured data and textual ...

    • Fullstack application for people in need looking for food 

      Burmann, Henrik August; Johannessen, Marcus (Bachelor thesis, 2023)
      Denne rapporten presenterer en oversikt over utviklingsprosessen bak utviklingen av et enklest brukbart produkt for Matsentralen Trøndelag. Denne applikasjonen hadde som mål å gjøre mat- tjenester mer tilgjengelige for ...

    • Fully automatic estimation of global left ventricular systolic function using deep learning in transesophageal echocardiography 

      Berg, Erik Andreas Rye; Tasken, Anders Austlid; Nordal, Trym; Grenne, Bjørnar Leangen; Espeland, Torvald; Garstad, Idar Kirkeby; Dalen, Håvard; Holte, Espen; Stølen, Stian Bergseng; Aakhus, Svend; Kiss, Gabriel Hanssen (Journal article, 2023)
      Aims To improve monitoring of cardiac function during major surgery and intensive care, we have developed a method for fully automatic estimation of mitral annular plane systolic excursion (auto-MAPSE) using deep learning ...

    • Fully Constrained Least Squares Linear Spectral Unmixing of The Scream (Verso, 1893) 

      Deborah, Hilda; Ulfarsson, Magnus Orn; Sigurdsson, Jakob (Peer reviewed; Journal article, 2021)
      Taking insights from the remote sensing field, in the recent decade, the advantages of hyperspectral imaging technology has been exploited for painting conservation. The estimation of pigment proportion in painting is a ...

    • Fully-Automatic Coronary Artery Segmentation using Deep Convolutional Autoencoders 

      Jacobsen, Frode (Master thesis, 2018)
      Automatic semantic segmentation of medical images is an important tool in aiding clinical experts in diagnosing diseases. The large volume of data produced in medical imaging modalities such as CT and MRI, and the inherent ...

    • Functional Reactive Programming on the Web - A Practical Evaluation 

      Young, Christian Strand (Master thesis, 2015)
      The web as an application platform is rising rapidly. With more complex solutions written in JavaScript that run client-side, as well as server-side, challenges related to JavaScript's asynchronous nature arise. This thesis ...

    • The fundamental principles of reproducibility 

      Gundersen, Odd Erik (Peer reviewed; Journal article, 2021)
      Reproducibility is a confused terminology. In this paper, I take a fundamental view on reproducibility rooted in the scientific method. The scientific method is analysed and characterized in order to develop the terminology ...

    • FunFX: A Framework for Functional Testing of Flex Applications 

      Motzfeldt, Peter Nicolai (Master thesis, 2007)
      This master thesis presents a new open source framework for functional testing of Flex applications, FunFX. FunFX is a framework that encourages test-driven development. The project was initiated by BEKK due to Flex s lack ...

    • Funksjonsbuffer i maskinvare 

      Fredriksen, Tord Andreas (Master thesis, 2005)
      Rekonfigurerbar maskinvare har i den siste tiden vist seg å være et særdeles nyttig verktøy i forbindelse med akselerasjon av forskjellige algoritmer. Spesielt gjelder dette algoritmer som enkelt lar seg parallellisere. ...

    • Fused 3-Stage Image Segmentation for Pleural Effusion Cell Clusters 

      Ma, Sike; Zhao, Meng; Wang, Hao; Shi, Fan; Sun, Xuguo; Chen, Shengyong; Dai, Hong-Ning (Chapter, 2021)
      The appearance of tumor cell clusters in pleural effusion is usually a vital sign of cancer metastasis. Segmentation, as an indispensable basis, is of crucial importance for diagnosing, chemical treatment, and prognosis ...

    • Fusjonering av to infrastrukturer til én skyplattform, med en Zero Trust-strategi og implementasjon av Microsoft Sentinel 

      Barfod, Fridtjof August; Jakobsen, Sigrid Ertresvåg; Jensen, Martin Engelund; Meløysund, Jim Fredrik Gransjøen (Bachelor thesis, 2022)
      Abstract will be available on 2024-05-20

    • Future Directions in Image Quality 

      Amirshahi, Seyed Ali; Pedersen, Marius (Journal article; Peer reviewed, 2019)
      With the advancements made in the field of image processing and computer vision, the last few decades have seen an increase in studies focused on image quality assessment. While this has resulted in the introduction of ...

    • The Future of Information Systems in a Post-COVID World 

      Ramos, Isabel; Mackrell, Dale; van der Merwe, Alta; Pries-Heje, Jan; Ralyte, Jolita; Stirna, Janis; Krogstie, John; Jones, Matthew; Mueller, Benjamin; Adam, Frederic; Jaber, Bettina; Weippl, Edgar R.; Janssen, Marijn; Elbanna, Amany; Lal, Banita; Plebani, Pierluigi; Johnston, Allen C.; Xu, Li Da (Peer reviewed; Journal article, 2021)
      This chapter consists of several sections which contain contributions from members of IFIP Technical Committee 8 (Information Systems). We highlight the accomplishments of Technical Committee 8 (TC8) and its working groups ...

    • Fuzzy Oscillations: a Novel Model for Solving Pattern Segmentation 

      Solbakken, Lester Johan (Master thesis, 2009)
      In this thesis we develop a novel network model that extends the traditional artificial neural network (ANN) model to include oscillatory behaviour. This model is able to correctly classify combinations of previously learned ...

    • Fuzzy set analysis as a means to understand users of 21st-century learning systems: The case of mobile learning and reflections on learning analytics research 

      Pappas, Ilias; Giannakos, Michail; Sampson, Demetrios (Journal article; Peer reviewed, 2017)
      Mobile technologies and their applications have the potential to benefit various learning contexts. Users’ perceptions of mobile learning (m-learning) technologies are of great importance and precede the successful integration ...

    • Fuzzy-Set Analysis to Understand User Experience in Mobile Applications 

      Pappas, Ilias; Mikalef, Patrick; Kourouthanassis, Panos; Giannakos, Michail (Chapter, 2017)
      This paper examines how price value, game content quality, positive and negative emotions, gender, and gameplay time interact with each other to explain high intention to download mobile applications, and specifically ...

    • Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing 

      Pappas, Ilias; Woodside, Arch G. (Peer reviewed; Journal article, 2021)
      The increasing interest in fuzzy-set Qualitative Comparative Analysis (fsQCA) in Information Systems and marketing raises the need for a tutorial paper that discusses the basic concepts and principles of the method, provide ...

    • Gab-SSDS: An AI-Based Similar Days Selection Method for Load Forecast 

      Janković, Zoran; Vesin, Boban; Selakov, Aleksander; Berntzen, Lasse (Peer reviewed; Journal article, 2022)
      The important, while mostly underestimated, step in the process of short-term load forecasting–STLF is the selection of similar days. Similar days are identified based on numerous factors, such as weather, time, electricity ...

    • Game AI: micromanagement in Star Craft. 

      Szczepanski, Tomasz Szymon (Master thesis, 2010)
      Real-time strategy (RTS) games are both popular among players as well as among academics. A typical RTS gameplay can be divided into macromanagement and micromanagement. Other researchers have successfully applied Case-based ...