Nye registreringer

  • Climbing Mont Blanc - Back-end Improvements 

    Ingebrigtsen, Fredrik Pe (Master thesis, 2017)
    Energy efficiency in computing is becoming more and more important. With the rise of smart phones, a whole new industry was born where having a more energy efficient system would mean longer battery life and an edge over ...
  • Cheating at Digital Exams - Vulnerabilities and Countermeasures 

    Heintz, Aleksander (Master thesis, 2017)
    In today's world where everything is increasingly done on computers, university exams are traditionally lagging behind and are still conducted using pen and paper for the most part. Recently, however, NTNU has started a ...
  • Investigating Zero-Shot Learning techniques in multi-label scenarios 

    Sve, Thomas; Remmen, Bjørnar Moe (Master thesis, 2017)
    Visual recognition systems are often limited to the object categories previously trained on and thus suffer in their ability to scale. This is in part due to the difficulty of acquiring sufficient labeled images as the ...
  • Beating the bookmakers - Using artificial neural networks to profit from football betting 

    Borøy-Johnsen, Simon (Master thesis, 2017)
    Artificial Neural Networks (ANNs) have throughout the years been used for several different purposes. Problems spanning from image classification to text generation have all been subject to ANNs. In this report, ANNs were ...
  • Spatio-textual search on Spark 

    Kloster, Tord (Master thesis, 2017)
    The amount of spatially aware data is growing at a rapid rate, and challenges both processing and organizing such data is in focus in the scientific world and the industry. But spatial data seldom exists alone, usually ...
  • Digitale plattformer for deling av mat: Erfaringer fra en iterativ designprosess med dumpster divers 

    Vie, Erlend (Master thesis, 2017)
    Deling er ikke nytt. Mennesker har alltid vært flinke til å dele. Man lar venner overnatte, låner bort ting og deler kunnskap ikke akkurat revolusjonerende konsepter. Det som er nytt, etter mobil, pc og internett, er at ...
  • Skybaserte løsninger for avstandsoppfølging av kroniske pasienter: - Design og evaluering av et pulsoksymeter 

    Drivenes, Andreas (Master thesis, 2017)
    Kroniske sykdommer er den mest vanlige dødsårsaken på verdensbasis. Ved å følge opp pasienter i sitt eget hjem med egenrapportering av dagsform og innrapportering av sensordata, ønsker man å redusere sykehusinnleggelser ...
  • Knowledge Base Acceleration Using Features Inspired by Collaborative Filtering 

    Weggersen, Benjamin; Weggersen, Sam Mathias (Master thesis, 2017)
    Most of us use knowledge bases every day, whether it is Wikipedia, Netflix, an online newspaper or a dictionary. These knowledge bases contain both timeless and up-to-date information and must be updated continuously. A ...
  • Automatic Document Timestamping 

    Gumpen, Kristoffer Berg; Nygard, Øyvind (Master thesis, 2017)
    When searching for information, the temporal dimension of the results is an important fac-tor regarding the information quality. Using temporal intent as a condition when searchingfor information is a field that is gaining ...
  • Artificial Development and Evolution using Common Developmental Genomes 

    Antonakopoulos, Konstantinos (Doctoral theses at NTNU;2017:251, Doctoral thesis, 2017)
    Developmental biology seeks to understand how organisms are constructed. Development is a set of very complex processes involving a coded program as the organisms’ genome. This genome describes how to build the organism, ...
  • Evolving Compositional Pattern Producing Networks For Cellular Automata Transition Rules 

    Ose, Mathias Berild (Master thesis, 2017)
    Traditional Cellular Automata (CA) transition rules are encoded as tables that grow quickly when the number of cell states or the size of the CA neighborhood increases. For methods that search for good transition rules, ...
  • Deep Reservoir Computing Using Cellular Automata 

    Molund, Andreas (Master thesis, 2017)
    Recurrent Neural Networks (RNNs) is a prominent concept within artificial intelligence. RNNs are inspired by Biological Neural Networks (BNNs) and provide an intuitive representation of how BNNs work. Derived from the more ...
  • A novel approach to GUI layout testing 

    Hasselknippe, Kristian Fjeld (Master thesis, 2017)
    In this thesis we design and develop a novel approach to GUI testing, which focuses on validating GUI layouts. This is achieved by establishing a categorization of common layout errors found in modern apps, and encoding ...
  • Machine Learning for Gesture Recognition with Electromyography 

    Chau, Tony (Master thesis, 2017)
    About 70 million deaf people use sign language as their first language or mother tongue, but the lack of a common language between the deaf and hearing individuals makes the general communication difficult. This thesis ...
  • Reservoir Computing Using Quasi-Uniform Cellular Automata 

    Gundersen, Magnus Skogstrøm (Master thesis, 2017)
    Unconventional computing offers many advantages over traditional computing systems; vast parallelism, scalability and robustness among others. A Cellular Automaton (CA) is a biologically inspired computational substrate ...
  • Modeling of mobile information systems 

    Strømjordet, Espen (Master thesis, 2017)
    Conceptual modeling languages are used for among other things sensemaking and analysis of information systems. In the field of mobile information systems, there is a lack of modeling notations that cover the specific ...
  • Peer Review Module Development in the Blackboard Learning Management System 

    Sjøvoll, Robin Singh; Lunde, Anders (Master thesis, 2017)
    In present education, a range of assessment methodologies are being used. From standard exercise deliveries to larger projects incorporating many sub-processes. With the introduction of Learning Management Systems (LMS), ...
  • A Continuous Approach to Controllable Text Generation using Generative Adversarial Networks 

    Helgøy, Dag Inge; Lund, Markus (Master thesis, 2017)
    The challenges of training generative adversarial network (GAN) to produce discrete tokens, have seen a considerable amount of work in the past year. However, the amount of successful work on applying deep generative models ...
  • Online Game Elements, Players and the Bond Between Them 

    Schweizer, Sandra (Master thesis, 2017)
    The results are guidelines for game developers to improve their game design. Through using the guidelines of the paper, developers know how to implement appealing online game elements which appeal to the player and draw ...
  • Medical Procedural Training in Virtual Reality 

    Gåsbakk, Tarald; Snarby, Håvard (Master thesis, 2017)
    Virtual reality tools have seen a large increase in interest over the last few years. Educators have been early adopters of such tools, and research have shown that students enjoy training in a virtual world using virtual ...

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