• Data Kollektivet 

      Valde, Frank Even; Lie, Kristoffer (Bachelor thesis, 2018)
      I Norge bor det i gjennomsnitt 2 personer per hushold. Det gjør at veldig mange må forholde seg til andre mennesker når det kommer til oppgaver og gjøremål i hjemmet. For å hjelpe med denne problemstillingen ville vi ...
    • Data Version Control for Relational Databases: Small and Start-up Business Perspective 

      Strazdins, Girts (Peer reviewed; Journal article, 2016)
      Data-related businesses is an emerging trend in the recent decade. However, the availability and amount of information make it difficult to ensure quality in terms of data fusion and version control. Completely automated ...
    • Data-Driven Maritime Processes Management Using Executable Models 

      Richta, Tomáš; Wang, Hao; Osen, Ottar; Styve, Arne; Janoušek, Vladimír (Journal article, 2018)
      In this paper we describe a decision support system for maritime traffic and operations, based on formal models and driven by data from the environment. To handle the complexity of system description, we work with a ...
    • Decision Transparency for enhanced human-machine collaboration for autonomous ships 

      Madsen, Andreas Solnørdal; Brandsæter, Andreas; Aarset, Magne Vollan (Chapter, 2023)
      Maritime Autonomous Surface Ships (MASS) are quickly emerging as a gamechanging technology in various parts of the world. They can be used for a wide range of applications, including cargo transportation, oceanographic ...
    • Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography 

      Devnath, Liton; Luo, Suhuai; Summons, Peter; Wang, Dadong; Shaukat, Kamran; Hameed, Ibrahim A.; Alrayes, Fatma S. (Peer reviewed; Journal article, 2022)
      Globally, coal remains one of the natural resources that provide power to the world. Thousands of people are involved in coal collection, processing, and transportation. Particulate coal dust is produced during these ...
    • Deep learning for fault detection of guardrails 

      Sedighi, Basir (Master thesis, 2020)
      Mennesker er uendelig flinke til å trekke ut informasjon fra bilder i kompleks natur å finne og klassifisere et objekt. I løpet av de siste årene har algoritmer og metoder blitt presentert for å gjøre det samme. Avanserte ...
    • Deep Learning for Low-Resource and Morphology-Rich Language Processing 

      Sun, Mengtao (Doctoral theses at NTNU;2023:50, Doctoral thesis, 2023)
      Since data-driven Natural Language Processing (NLP) approaches emerged in the late 60s, many practical applications have been proposed, such as automatic sentiment analyzers and named entity recognizers. Today, the robust ...
    • Deep Privacy based Face Anonymization for Smart Cities 

      Hassan, Muhammad Umair; Stava, Magnus; Hameed, Ibrahim A (Journal article, 2023)
      Interest in privacy has increased due to the public’s increased attention given to it by the introduction of the EU’s GDPR. The number of images containing identifiable features has multiplied dramatically in an increasingly ...
    • Deformable Body Based Salmon Model - For iterative development and testing of equipment within Isaac Sim 

      Glomsrud Andreas (Master thesis, 2023)
      I denne oppgaven utnyttes Isaac Sim sin kapasitet for ”Soft Body” simulering for ˚a lage en robust og dynamisk modell av Fisk. Modellen er delvis basert p˚a tidligere kunnskap innhentet under arbeid utført i løpet av ...
    • Den lille burger fabrikken 

      Vederhus, Vinjar; Tomasgard, Olai; Ustad, Håkon (Bachelor thesis, 2023)
      Denne bacheloroppgaven tok for seg utvikling av et sammensatt mekatronisk system for automatisk produksjon av ferskmat. Det ble utviklet moduler for produksjon og montasje av en hamburger fra råvarer - med steking av farse, ...
    • 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 ...
    • Design and Implementation of a Microservices-Based Digital Twin Architecture 

      Hajnoruzi, Farhad (Master thesis, 2023)
      Digitale tvillinger gjør det mulig for informert beslutningstaking basert på komplekse simuleringer og prediktiv analyse ved å forbinde de digitale og fysiske verdener. Digitale tvillinger trenger arkitekturer som opprettholder ...
    • Design and Stability Analysis of Sliding Mode Controller for Non-Holonomic Differential Drive Mobile Robots 

      Azar, Ahmad Taher; Abed, Azher M.; Abdul-Majeed, Farah Ayad; Hameed, Ibrahim A.; Jawad, Anwar Ja’afar Mohamad; Abdul-Adheem, Wameedh Riyadh; Ibraheem, Ibraheem Kasim; Kamal, Nashwa Ahmad (Peer reviewed; Journal article, 2023)
      This paper presents a novel extended state observer (ESO) approach for a class of plants with nonlinear dynamics. The proposed observer estimates both the state variables and the total disturbance, which includes both ...
    • Design og produksjon av autonom drone 

      Roset, Espen Tømmerstøl; Remøy, Håvard Gausemel (Bachelor thesis, 2022)
      Denne rapporten omhandler vår utførelse av bacheloroppgave nr.25,Design, bygging og regulering av autonom drone. Gruppen tok utgangspunkt i et eksisterende design, tilpasset dette og produserte en drone med gode flygeegenskaper. ...
    • Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function 

      Almeida, Waldir; Andaló, Fernanda; Padilha, Rafael; Bertocco, Gabriel; Dias, William; Torres, Ricardo Da Silva; Wainer, Jacques; Rocha, Anderson (Peer reviewed; Journal article, 2020)
      With the widespread use of biometric authentication comes the exploitation of presentation attacks, possibly undermining the effectiveness of these technologies in real-world setups. One example takes place when an impostor, ...
    • Detecting Road Surface Distress using Deep Learning 

      Gustafsson, Eirik Gribbestad; Steinnes, Ole-Martin Hagen; Løken, Sivert (Bachelor thesis, 2019)
      Ifølge Statistisk Sentralbyrå finnes det totalt sett 54 899 km fylkes- og riksveier som Statens vegvesen er ansvarlig for å vedlikeholde. Dette er en kostbar og tidkrevende oppgave. Hvert år blir kamerabiler sendt ut for ...
    • Detecting Small Anatomical Structures in 3D Knee MRI Segmentation by Fully Convolutional Networks 

      Sun, Mengtao; Lu, Li; Hameed, Ibrahim A.; Skaar Kulseng, Carl Petter; Gjesdal, Kjell-Inge (Journal article; Peer reviewed, 2021)
    • Detection and Classification of Moving Vehicle From Video Using Multiple Spatio-Temporal Features 

      Wang, Yu; Ban, Xiaojuan; Wang, Huan; Wu, Di; Wang, Hao; Yang, Shouqing; Liu, Sinuo; Lai, Jinhui (Journal article; Peer reviewed, 2019)
      The information acquisition and automatic processing technology based on visual surveillance sensors in intelligent transportation system (ITS) has become an important application field of computer vision technology. The ...
    • Detection of Water Safety Conditions in Distribution Systems Based on Artificial Neural Network and Support Vector Machine 

      Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak (Peer reviewed; Journal article, 2019)
      This study presents the development of artificial neural network (ANN) and support vector machine (SVM) classification models for predicting the safety conditions of water in distribution pipes. The study was based on 504 ...
    • Developing waypoint navigation and buoy detection using YOLO for an autonomous surface vessel 

      Stava, Magnus; Gaasholt, Markus Grorud; San, Kaung Htet (Bachelor thesis, 2021)
      Autodrone 2021 er en årlig konkurranse arrangert i Horten. Den har som mål å etablere og styrke den maritime utdanningen nasjonalt. Av den grunn ønsker NTNU Ålesund å ha en tilstedeværelse i konkurransen og følgende rapport ...