Now showing items 1438-1457 of 6558

    • CyberAIMs: A tool for teaching adversarial and systems thinking 

      Zoto, Erjon; Kowalski, Stewart James; Katt, Basel; Frantz, Christopher; Lopez Rojas, Edgar Alonso (Chapter, 2018)
      CyberAIMs stands for Cyber Agents’ Interactive Modeling and Simulation. We designed this tool in order to use it as an educational tool to teach Master students in a Cyber security course. This paper aims to describe the ...
    • Cybercrime Economy - A Netnographic Study on the Dark Net Ecosystem for Ransomware 

      Bayoumy, Yara (Master thesis, 2018)
      Black hat hackers are far more shrewd than the public's stereotypical perception of them. They are no longer script kiddies who are trying to impress their social circles, but skilled businessmen with the general aim to ...
    • Cybersecurity awareness for children: A systematic literature review 

      Quayyum, Farzana; Cruzes, Daniela Soares; Jaccheri, Maria Letizia (Peer reviewed; Journal article, 2021)
      Cybersecurity for children has received much attention and has become a rapidly growing topic due to the increased availability of the internet to children and their consequent exposure to various online risks. This paper ...
    • Cycle GANs for Forgery Detection 

      Jonsson, Haakon Johansen (Master thesis, 2021)
      Med den økende egenskapene til dype læringsmodeller blir bekymringene reist om bruk av maskinlæring som et verktøy for å generere falsk media. Dette gjøres vanligvis ved hjelp av generative nevrale nettverksarkitekturer ...
    • D2C-DM: Distributed-to-Centralized Data Management for Smart Cities Based on Two Ongoing Case Studies 

      Sinaeepourfard, Amir; Krogstie, John; Petersen, Sobah Abbas (Chapter, 2019)
      Smart city environments follow different technological management strategies (such as resource management, data management, and so on) between end-users to city planners and technological devices (e.g., sensor, camera ...
    • D2C-SM: Designing a Distributed-to-Centralized Software Management Architecture for Smart Cities 

      Sinaeepourfard, Amir; Petersen, Sobah Abbas; Ahlers, Dirk (Peer reviewed; Journal article, 2019)
      Smart city innovations can enhance the quality of citizens’ life through different smart technology management solutions, including resource management, data management, and software management. Nowadays, there are two ...
    • Dag-0 arbeidsflyt for administrasjon av krevende trådløse nettverk 

      Wasbø, Ådne Rosseland (Bachelor thesis, 2021)
    • The DaisyPlayer Project 

      Lindhjem, Andre; Holien, Kjetil; Risa, Terje; Nerbråten, Øyvind (Bachelor thesis, 2006)
      During the progress of this Open Source project, we have created a library for parsing and playing a Daisy Digital Talking Book. We have also developed two front-ends which utilizes our library, one with a graphical user ...
    • Dancing Robots 

      Tidemann, Axel (Master thesis, 2006)
      This Master s thesis implements a multiple paired models architecture that is used to control a simulated robot. The architecture consists of several modules. Each module holds a paired forward/inverse model. The inverse ...
    • Dancing Robots 

      Tidemann, Axel (Master thesis, 2006)
      This Master?s thesis implements a multiple paired models architecture that is used to control a simulated robot. The architecture consists of several modules. Each module holds a paired forward/inverse model. The inverse ...
    • Data Analysis for the Mobile Application of the selfBACK Decision Support System 

      He, Yu (Master thesis, 2018)
      The aim of the thesis is to find user behavior patterns by applying unsupervised learning methods on the selfBACK app usage data. The recognized patterns will be used as references to select interviewees in the process ...
    • Data Analytics for HUNT: Recognition of Physical Activity on Sensor Data Streams 

      Reinsve, Øyvind (Master thesis, 2018)
      Human Activity Recognition (HAR) is the field of recognizing activities by analyzing measurements of a subject s movement and environment. A major application of HAR systems is medical research. Th e Nord-Trøndelag Health ...
    • Data and knowledge manangement in field studies A case for semantic technologies 

      Schaathun, Hans Georg; Tran, Que; Tollefsen, Mikael; Gernez, Etienne (Journal article; Peer reviewed, 2017)
      Ship design is a knowledge-intensive industry. To design safe ship systems for demanding operations, there is an increasing need for comprehensive knowledge of the operational context. Field studies is an important source ...
    • Data Architecture and Design of in-vivo Neurosurgical Hyperspectral Image Database 

      Hisuin, Gemal Hamid (Master thesis, 2022)
      In recent years, the use of hyperspectral imaging (HSI) for microneurosurgical applications has been introduced. One of the most significant challenge that researchers and neurosurgeons face when developing or applying ...
    • Data curation as anticipatory generification in data infrastructure 

      Parmiggiani, Elena; Amagyei, Nana Kwame; Kollerud, Steinar Kornelius Selebø (Peer reviewed; Journal article, 2023)
      Data curation is crucial for data reusability. New possibilities for digital data sharing are an urgent concern for data curators, who must keep historical datasets and present data collections always ready to meet unknown ...
    • Data Curation as Governance Practice 

      Parmiggiani, Elena; Grisot, Miria (Peer reviewed; Journal article, 2020)
      Data governance is concerned with leveraging the potential value of data in data infrastructures. In IS research, data governance has developed as a management perspective, implying a narrow view of who makes decisions ...
    • Data driven case base construction for prediction of success of marine operations 

      Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge (Journal article; Peer reviewed, 2017)
      It is a common situation to have lots of recorded data that you want to use for improving a process in your organization or make use of this data to provide new services or products. Starting with one primary data set we ...
    • Data Driven Protein Structure Prediction: Development of a SAXS ab initio modeling in a probabilistic inference framework 

      Andreetta, Christian (Master thesis, 2008)
      Protein structure prediction is one of the most interesting and researched targets in computational biology. The problem in itself is easily posed: to model the three-dimensional structure of a protein, given its genetic ...
    • Data Efficient Deep Reinforcement Learning through Model-Based Intrinsic Motivation 

      Nylend, Mikkel Sannes (Master thesis, 2017)
      In the last few years we have experienced great advances in the field of reinforcement learning (RL), much thanks to deep learning. By introducing deep neural networks in RL it is possible to have agents learn complex ...
    • Data Governance i Praksis: Et Casestudie av IT Outsourcing 

      Blikeng, Simen Aske (Master thesis, 2020)
      Formålet med denne oppgaven er å kunne se på hvordan data governance utspiller seg i praksis i en IT outsourcing. Ved å opparbeide seg en dypere forståelse for hva som skjer i en outsourcing fra outsourcing-selskapet sitt ...