• Applicability of a Digital Road Network Model Created with OpenStreetMap Data 

      Cubedo, Antonio Johansen (Master thesis, 2019)
      Simuleringer av verdensekte analogier er nyttig når en undersøker og forsker på et systems oppførsel under belastning, eller når justeringer av de innebærende faktorene i det verdensekte systemet ikke lar seg gjøre ...
    • 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 ...
    • Application-Oriented Retinal Image Models for Computer Vision 

      Silva, Ewerton; Torres, Ricardo Da Silva; Pinto, Allan; Li, Lin; Vianna, José; Azevedo, Rodolfo; Goldenstein, Siome (Peer reviewed; Journal article, 2020)
      Energy and storage restrictions are relevant variables that software applications should be concerned about when running in low-power environments. In particular, computer vision (CV) applications exemplify well that ...
    • Applying Deep Learning Technique for Depression Classification in Social Media Text 

      Ahmad, Hussain; Asgha, Muhammad Zubair; Alotaibi, Fahad M.; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2020)
      In social media, depression identification could be regarded as a complex task because of the complicated nature associated with mental disorders. In recent times, there has been an evolution in this research area with ...
    • Applying hyperparameter optimization and other model adaption methods to tune existing models for microbial pathogens in drinking water supplies 

      Noem, Niklas (Master thesis, 2018)
      The collection and analysis of data on the concentration of pathogenic organisms in raw water sources is critical for the optimization of disinfection processes in water treatment plants. Nevertheless, there are no robust ...
    • 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 ...
    • Augmentert realitet for Offshore Kran Operasjoner 

      Gielesen, Demy Patrick (Master thesis, 2019)
      I min oppåve, utforsker eg potensialet for bruk av Augmentert Realitet i offshore-kran situasjoner. Som forslag frå Offshore Simulator Center (OSC), var ideen å bruke eit Microsoft HoloLens headset for prototyping og kran ...
    • Auto-Docking of Vessel 

      Bårslett, Simon; Longva, Martin Nikolai; Nygård, Thor-Inge (Bachelor thesis, 2018)
      The maritime industry have in recent years started to focus more on autonomous vessels. There is already technology like auto-crossing for ferries, and dynamic positioning for offshore vessels. One of the next steps regarding ...
    • Automated Aluminum Production Cell 

      Ryslett, Fredrik Aarset; Bakker, Fredrik Johannes; Iveland, Sondre Grevle (Bachelor thesis, 2018)
      The following bachelor thesis Automated Aluminum Production Cell is a project for RUFO AS, provided by Viddal Automation AS, in which the purpose is to develop the electrical- and control system for the production cell. ...
    • 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 ...
    • Automatic Visual Features for Writer Identification: A Deep Learning Approach 

      Rehman, Arshia; Naz, Saeeda; Razzak, Muhammad Imran; Hameed, Ibrahim A. (Journal article; Peer reviewed, 2019)
      Identification of a person from his writing is one of the challenging problems; however, it is not new. No one can repudiate its applications in a number of domains, such as forensic analysis, historical documents, and ...
    • Automating and simplifying the creation of virtual machines for students - An on-premises cloud 

      Klubbenes, Lars Ivar; Fylling, Marius Blindheim (Bachelor thesis, 2018)
      This thesis is based on a project in cooperation with NTNU. Most people will at some point have sat down in front of a computer, performing some task, and realized: "This isn’t going to work. I have a hammer, but right ...
    • Autonomous Inshore Navigation with Lidar 

      Waldum, Håkon Bjerkgaard; Jørundland, Ruben Svedal; Natvik, Ruben Ole Berg; Wille, Vebjørn Rimstad (Bachelor thesis, 2020)
      Denne rapporten omhandler utviklingen av en prototype som autonomt skal navigere og legge til kai ved bruk av Lidar som syn. Poenget i denne undersøkelsen er å utforske hvordan man implementer et slikt system, og hvor ...
    • Autonomous inspections for process industry by a quadruped robot with use of neural networks 

      Drønnen, Petter; Solheim, Vegard; Øye, Magnus (Bachelor thesis, 2020)
      Dette prosjektet har som mål å utvikle en firebent robotprototype for autonome inspeksjoner i prosessindustrien med bruk av nevrale nettverk. Dette inkluderer modellering og bygging av en prototype som kan utstyres med ...
    • Autopacker 

      Nicholasson, Aron; Nor, Liban; Nogva, Bendik (Bachelor thesis, 2020)
      Når en lærer må laste opp et prosjekt til en server for en spesifikt forelesning eller lab, kan det innebære kjedelige og repeterende konfigurasjoner og til og med programvareoppdateringer på grunn av endringer og oppdateringer ...
    • Bankruptcy Prediction of a New Data Set of Companies in Norway 

      Jizhen, Cai (Master thesis, 2019)
      I de siste årene har flere og flere forskere fokusert på forskning om konkursforutsigelse. Tradisjonelle metoder basert på statistiske modeller kan imidlertid ikke være i stand til å håndtere relevante datasett, som blir ...
    • A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure 

      Nasir, Adeel; Shaukat, Kamran; Hameed, Ibrahim A.; Luo, Suhuai; Mahboob, Talha; Iqbal, Farhat (Peer reviewed; Journal article, 2020)
      Corona pandemic has affected the whole world, and it is a highly researched area in biological sciences. As the current pandemic has affected countries socially and economically, the purpose of this bibliometric analysis ...
    • Big data analysis and visualization tools for different industries 

      Han, Fang (Master thesis, 2017)
      With the world s entrance into the information age, data analysis has become a major tool for the advancement of any industry. Big data analytics and visualization allows researchers and scientists to view and easily ...
    • Big data and connectivity in long-linked supply chains 

      Engelseth, Per; Wang, Hao (Journal article; Peer reviewed, 2018)
      Purpose This study aims to consider the developing of strategic use of big data in association with long-linked physical goods supply focusing on risk management. Design/methodology/approach Analysis is grounded on a case ...
    • 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 ...