• Automated Power Lines Vegetation Monitoring using High-Resolution Satellite Imagery 

      Gazzea, Michele; Pacevicius, Michael Felix; Dammann, Dyre Oliver; Sapronova, Alla; Lunde, Torleif Markussen; Arghandeh, Reza (Peer reviewed; Journal article, 2021)
      Vegetation Management is a significant preventive maintenance expense in many power transmission and distribution companies. Traditional Vegetation Management operational practices have proven ineffective and are rapidly ...
    • Automated Prediction of Fractional Flow Reserve through Numerical Simulation of Coronary Artery Flow 

      Magnus Johannesen (Master thesis, 2019)
      I denne masteroppgaven har det blitt utviklet en metode for å bestemme "Fractional Flow Reserve" indeksen for kvantifisering av funksjonell reduksjon i menneskelige kransarterier. Metoden har benyttet seg av den ...
    • Automated Process Design in Oil and Gas Field Development 

      Swatson, John Clement (Master thesis, 2018)
      Oil and Gas Processing plants require specialised equipment to effectively treat the hydrocarbons produced from the field. The processing equipment employed occupy a large amount of space and contribute a significant amount ...
    • Automated Product Localization through Mobile Data Analysis 

      Oplenskedal, Magnus Karsten; Taherkordi, Amirhosein; Herrmann, Peter (Journal article; Peer reviewed, 2019)
      Recent developments in the field of indoor RealTime Locating Systems (RTLS) using mobile devices stimulate decision support for users. For instance, smartphone-based navigation in shops can enable location-aware recommendations ...
    • Automated pupillometry to detect command following in neurological patients: a proof-of-concept study 

      Vassilieva, Alexandra; Olsen, Markus Harboe; Peinkhofer, Costanza; Knudsen, Gitte M; Kondziella, Daniel (Journal article; Peer reviewed, 2019)
      Background Levels of consciousness in patients with acute and chronic brain injury are notoriously underestimated. Paradigms based on electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) may detect ...
    • Automated Quality Assurance of Digitization in the Digital Archives 

      Holtmon, Martin Wighus; Karlsmoen, Jakob Frantzvåg; Krog, Mikael Falkenberg (Bachelor thesis, 2022)
      Digitalarkivet er Norges fellesløsning for mottak, bevaring og publisering av digitiserte/mediekonverterte historiske arkiv fra statlige, kommunale og private aktører. Arkivene blir digitisert/mediekonvertert av hver enkelt ...
    • Automated Quantification of Human Osteoclasts Using Object Detection 

      Kohtala, Sampsa; Nedal, Tonje Marie Vikene; Carlo, Kriesi; Moen, Siv Helen; Ma, Qianli; Ødegaard, Kristin Sirnes; Standal, Therese; Steinert, Martin (Peer reviewed; Journal article, 2022)
      A balanced skeletal remodeling process is paramount to staying healthy. The remodeling process can be studied by analyzing osteoclasts differentiated in vitro from mononuclear cells isolated from peripheral blood or from ...
    • Automated Red Teams in Maritime Cybersecurity Exercises 

      Solli, Audun Landøy (Master thesis, 2022)
      Brorparten av verdas overflate er dekka vatn og mange folk bur langs kysten. Likevel ligg maritim sektor langt bak andre teknologisektorar når ein ser med eit auge på informasjonsikkerheiten. Metodar for å teste og lære ...
    • Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition 

      Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Selnæs, Kirsten Margrete; Bathen, Tone Frost; Elschot, Mattijs (Peer reviewed; Journal article, 2020)
      Objectives To develop and evaluate an automated method for prostate T2-weighted (T2W) image normalization using dual-reference (fat and muscle) tissue. Materials and methods Transverse T2W images from the publicly ...
    • Automated Salamander Recognition Using Deep Neural Networks and Feature Extraction 

      Bakløkken, Jørgen; Schoeler, Felix; Nørholm, Hugo (Bachelor thesis, 2019)
      Hensikten med dette prosjektet er å utvikle et automatisert verktøy og metode som kan identifisere salamandere ved å bruke deres individspesifikke bukmønstre. Vi har undersøkt en rekke med forskjellige eksisterende metoder ...
    • Automated salamander recognition using deep neural networks and feature extraction 

      Bakløkken, Jørgen; Schoeler, Felix; Nørholm, Hugo; George, Sony; Pedersen, Marius; Dervo, Børre Kind (Journal article; Peer reviewed, 2019)
      This paper presents a study conducted to recognize salamanders by using their unique body markings based on images. The detection and matching of unique patterns in a salamander’s body can be complex due variability in ...
    • Automated Security Analysis of Infrastructure Clouds 

      Bleikertz, Sören (Master thesis, 2010)
      Cloud computing has gained remarkable popularity in the recent years by a wide spectrum of consumers, ranging from small start-ups to governments. However, its benefits in terms of flexibility, scalability, and low upfront ...
    • Automated Security Compliance Tool for the Cloud 

      Ullah, Kazi Wali (Master thesis, 2012)
      Security, especially security compliance, is a major concern that is slowing down the large scale adoption of cloud computing in the enterprise environment. Business requirements, governmental regulations and trust are ...
    • Automated Security Testing with MITRE Caldera and Azure Pipelines 

      Hollås, Jardar; Jørgensen, Petter; Larsen, Charlotte; Zabelberg, Tryggvi Thordarson (Bachelor thesis, 2023)
      Sopra Steria er et ledende teknologi- og konsulentfirma, kjent for sine digitale tjenester. SOC-teamet til Sopra Steria ønsket å automatisere sikkerhetstesting for å forbedre og effektivisere testprosessene deres. Den ...
    • Automated Segmental Cardiac Monitoring by Advanced Computerized Artificial Intelligence on Intra-Operative Three-Dimensional Ultrasound Recordings 

      Taskén, Anders Austlid (Master thesis, 2021)
      Medisinsk ultralyd er et effektivt verktøy for å hente ut data fra menneskekroppens indre og praktiseres ofte i kirurgien for å vurdere hjertefunksjon. Perioperativ hjerteovervåking er viktig for diagnostikk tidlig i ...
    • Automated Segmentation for Quantitative Susceptibility Mapping in Healthy Volunteers at 7T 

      Vorren, Inger Sofie (Master thesis, 2023)
      Parkinsons sykdom (PD) er en utbredt nevrodegenerativ lidelse og er assosiert med opphopning av jern i subkortikale hjernestrukturer. MR-avbildningsmetoden Quantitative Susceptibility Mapping (QSM) gir kvantitative mål for ...
    • Automated segmentation of endometrial cancer on MR images using deep learning 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S (Peer reviewed; Journal article, 2021)
      Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...
    • Automated Segmentation of Metastatic Lymph Nodes in Lymphoma Patients 

      Knapstad, Sølvi (Master thesis, 2022)
      Ved å bruke det kunstige nevrale nettverket 2D U-Net, tester denne masteroppgaven nøyaktigheten til 2D U-Net med formålet om å automatisk segmentere ondartede svultser i PET/MR-bilder av pasienter med metastatisk lymfom. For ...
    • Automated segmentation of tumors in dynamic contrast-enhanced MRI of high-risk breast cancer patients undergoing neoadjuvant therapy 

      Tafavvoghi, Masoud (Master thesis, 2021)
      Brystkreft er den vanligste kreft blant kvinner, med nesten 3700 nye tilfeller diagnostisert årlig i Norge. Innenfor denne gruppen diagnostiseres mellom 5 og 10% på stadium III med lokalavansert brystkreft. Presurgical ...
    • Automated Self-Optimising Synthesis Platform for Nanocrystals 

      Liu, Yu (Master thesis, 2021)
      Nanocrystals are semiconductor nanoparticles with proven potential to enhance many applications including bioimaging and optoelectronics. Traditional colloidal synthesis methods typically do not provide the necessary control ...