Nye registreringer

  • A Unified Model for Accelerating Unsupervised Iterative Re-Ranking Algorithms 

    Pisani, Flavia; Valem, Lucas; Pedronette, Daniel; Torres, Ricardo Da Silva; Borin, Edson; Breternitz Jr., Mauricio (Peer reviewed; Journal article, 2020)
    Despite the continuous advances in image retrieval technologies, performing effective and efficient content-based searches remains a challenging task. Unsupervised iterative re-ranking algorithms have emerged as a promising ...
  • Two-tiered face verification with low-memory footprint for mobile devices 

    Padilha, Rafael; Andaló, Fernanda; Bertocco, Gabriel; Almeida, Waldir; Dias, William; Resek, Thiago; Torres, Ricardo Da Silva; Wainer, Jacques; Rocha, Anderson (Peer reviewed; Journal article, 2020)
    Mobile devices have their popularity and affordability greatly increased in recent years. As a consequence of their ubiquity, these devices now carry all sorts of personal data that should be accessed only by their owner. ...
  • Representing Scientific Literature Evolution via Temporal Knowledge Graphs 

    Rossanez, Anderson; Reis, Julio; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
    Scientific publications register the current knowledge in a specific domain. As new researches are conducted, knowledge evolves, getting documented in dissertations, theses and articles. In this article, we introduce new ...
  • Assessing autonomous ship navigation using bridge simulators enhanced by cycle-consistent adversarial networks 

    Brandsæter, Andreas; Osen, Ottar (Peer reviewed; Journal article, 2021)
    The advent of artificial intelligence and deep learning has provided sophisticated functionality for sensor fusion and object detection and classification which have accelerated the development of highly automated and ...
  • Application of Artificial Intelligence and Data Science Methods in Oil and Gas Reservoir Simulation 

    Dwivedi, Saumitra (Master thesis, 2020)
    The oil and gas industry works with a few of the most complex and challenging industrial processes across several domains of engineering. Such industrial processes usually require precision, in order to suppress the outcome ...
  • Blockchain-Based Power Energy Trading Management 

    Wang, Hao; Ma, Shenglan; Guo, Chaonian; Wu, Yulei; Dai, Hong-Ning; Wu, Di (Peer reviewed; Journal article, 2021)
    Distributed peer-to-peer power energy markets are emerging quickly. Due to central governance and lack of effective information aggregation mechanisms, energy trading cannot be efficiently scheduled and tracked. We devise ...
  • A Conceptual Model Of An IOT-Based Smart And Sustainable Solid Waste Management System: A case Study Of A Norwegian Municipality 

    Nasar, Wajeeha; Karlsen, Anniken Th; Hameed, Ibrahim A. (Chapter, 2020)
    The core processes of waste management have been changed during the last few decades. Through advanced technologies, sensors, cameras, actuators, IoT controls, data driven and data transfer technologies, the old and ...
  • Automatic production of patient adapted orthopaedic braces using 3D -modelling technology 

    Kleppe, Paul Steffen; Rekdalsbakken, Webjørn (Chapter, 2020)
    The research group in biomechanics at NTNU Aalesund works in close cooperation with the orthopaedic surgeons at Aalesund Hospital. One of the research activities has been to develop an automatic procedure for producing ...
  • A survey on sentiment analysis in Urdu: A resource-poor language 

    Khattak, Asad; Zubair Asghar, Muhammad; Saeed, Anam; Hameed, Ibrahim A.; Asif Hassan, Syed; Ahmad, Shakeel (Peer reviewed; Journal article, 2020)
    Background/introduction The dawn of the internet opened the doors to the easy and widespread sharing of information on subject matters such as products, services, events and political opinions. While the volume of studies ...
  • Non-technical Loss Detection in Power Grid Using Information Retrieval approaches: A Comparative Study 

    Esmael, Agnaldo; Silva, Hugo; Ji, Tuo; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2021)
    Non-technical loss (NTL) detection is a persistent challenge for Distribution System Operators. Data-driven solutions have been widely used nowadays to analyze customers’ energy consumption and to identify suspicious fraud ...
  • Digitale helsetjenester: nye muligheter, nye utfordringer 

    Karlsen, Anniken Th; Sørbø, Marie Flem; Nylenna, Magne (Chapter, 2020)
    En aldrende befolkning, økning i kroniske og sammensatte lidelser og økt etterspørsel etter helse- og omsorgstjenester, fordrer nye tjenestetilbud. Mer bruk av datateknologi er åpenbart en del av løsningen. Økt brukermedvirkning ...
  • MobText: A Compact Method for Scene Text Localization 

    Decker, Luis; Pinto, Allan; Campana, Jose; Neira, Manuel; Santos, Andreza; Conceição, Jhonatas; Angeloni, Marcus; Li, Lin; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
    Abstract: Multiple research initiatives have been reported to yield highly effective results for the text detection problem. However, most of those solutions are very costly, which hamper their use in several applications ...
  • INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches 

    Pinciroli Vago, Nicolo' Oreste; Lavinas, Yuri; Rodrigues, Daniele; Moura, Felipe; Cunha, Sergio; Aranha, Claus; Torres, Ricardo Da Silva (Chapter, 2020)
    This paper introduces Interactive Graph Analyzer (INTEGRA), a tool to support the comparison of simulated football matches with real ones, through the analysis of dynamic graphs. Our tool supports coordinated views of ...
  • Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation 

    Pinto, Allan; Cordova, Manuel; Decker, Luis; Campana, Jose; Souza, Marcos; Andreza, Santos; Jhonatas, Conceição; Gagliardi, Henrique; Luvizon, Diogo; Torres, Ricardo Da Silva; Pedrini, Helio (Chapter, 2020)
    Stereo vision is a growing topic in computer vision due to the innumerable opportunities and applications this technology offers for the development of modern solutions, such as virtual and augmented reality applications. ...
  • Den tause kunnskapen i IT-studia 

    Schaathun, Hans Georg (Peer reviewed; Journal article, 2020)
    Michael Polanyi er kjend for omgrepet taus kunnskap. Han viste at me ofte veit meir enn me kan fortelja. Dette ser me tydleg i profesjonsstudia. Studentane treng ein praktisk kompetanse som førelesarane slit med å setja ...
  • Ingeniørdannelse. Kva har danning i teknologifag å gjera? 

    Schaathun, Hans Georg (Peer reviewed; Journal article, 2020)
    Etter rammeplanen for ingeniørfag, er ingeniørdannelse ein viktig del av dataingeniørstudiet. Dette har vore eit utfordrande krav, for kva er eigentleg ingeniørdanning? Der er skrive mykje om danning innanfor didaktikk ...
  • A Survey on Machine Learning Techniques for Cyber Security in the Last Decade 

    Shaukat, Kamran; Luo, Suhuai; Varadharajan, Vijay; Hameed, Ibrahim A.; Xu, Min (Peer reviewed; Journal article, 2020)
    Pervasive growth and usage of the Internet and mobile applications have expanded cyberspace. The cyberspace has become more vulnerable to automated and prolonged cyberattacks. Cyber security techniques provide enhancements ...
  • Relationship between maximal aerobic power with aerobic fitness as a function of signal-to-noise ratio 

    Beltrame, Thomas; Gois, Mariana; Hoffmann, Uwe; Koschate, Jessica; Hughson, Richard; Frade, Maria; Linares, Stephanie; Torres, Ricardo Da Silva; Catai, Aparecida (Peer reviewed; Journal article, 2020)
    Efforts to better understand cardiorespiratory health are relevant for the future development of optimized physical activity programs. We aimed to explore the impact of the signal quality on the expected associations between ...
  • Web-based Scalable Visual Exploration of Large Multidimensional Data Using Human-in-the-Loop Edge Bundling in Parallel Coordinates 

    Cui, Wenqiang; Strazdins, Girts; Wang, Hao (Peer reviewed; Journal article, 2020)
    Visual clutter and overplotting are the main challenges for visualizing large multidimensional data in parallel coordinates, which greatly hampers the recognition of patterns in the data. Although many automatic clustering ...
  • Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency 

    Gribbestad, Magnus; Hassan, Muhammad Umair; Hameed, Ibrahim A.; Sundli, Kelvin (Peer reviewed; Journal article, 2021)
    Anomaly detection refers to detecting data points, events, or behaviour that do not comply with expected or normal behaviour. For example, a typical problem related to anomaly detection on an industrial level is having ...

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