Now showing items 6072-6091 of 20221

    • E-Waste Tracking System with Public Permissioned Blockchain using Byzantine Fault Tolerance Consensus in Norway 

      Gröling, Marc (Master thesis, 2023)
      Electric and electronic equipment is the fastest-growing waste stream. These items contain many precious materials that can be recovered if they are properly recycled. Apart from recovering valuable finite materials, ...
    • E2F-GAN: Eyes-to-Face Inpainting via Edge-Aware Coarse-to-Fine GANs 

      Hassanpour, Ahmad; Daryani, Amir Etefaghi; Mirmahdi, Mahdieh; Raja, Kiran; Yang, Bian; Busch, Christoph; Fierrez, Julian (Peer reviewed; Journal article, 2022)
      Face inpainting is a challenging task aiming to fill the damaged or masked regions in face images with plausibly synthesized contents. Based on the given information, the reconstructed regions should look realistic and ...
    • E39 Fjordkryssing: Automatisering av data-pipeline for analyse av bølgedata 

      Gjelseth-Borgen, Trym Vegard; Hyll, Magnus Conrad (Bachelor thesis, 2019)
      Bakgrunnen for dette systemutviklingsprosjektet er Statens Vegvesens prosjekt "Ferjefri E39". I forbindelse med dette har Norconsult, på oppdrag fra Statens Vegvesen og i samarbeid med Fugro Oceanor, blitt leid inn til å ...
    • The E_2-term of the K(n)-local E_n-Adams spectral sequence 

      Heard, Drew Kenneth; Barthel, Tobias (Peer reviewed; Journal article, 2016)
      Let E=Enbe Morava E-theory of height n. In[8]Devinatz and Hopkins introduced the K(n)-local En-Adams spectral sequence and showed that, under certain conditions, the E2-term of this spectral sequence can be identified with ...
    • EADN: An Efficient Deep Learning Model for Anomaly Detection in Videos 

      Ul Amin, Sareer; Ullah, Mohib; Sajjad, Muhammad; Alaya Cheikh, Faouzi; Hijji, Mohammad; Hijji, Abdulrahman; Khan, Muhammad (SKKU) (Peer reviewed; Journal article, 2022)
      Surveillance systems regularly create massive video data in the modern technological era, making their analysis challenging for security specialists. Finding anomalous activities manually in these enormous video recordings ...
    • Ear Recognition: Biometric Identification using 2- and 3-Dimensional Images of Human Ears 

      Pflug, Anika (Doktorgradsavhandlinger ved Høgskolen i Gjøvik;2/2015, Doctoral thesis, 2015-06-05)
      The outer ear is an emerging biometric trait that has drawn the attention of the research community for more than a decade. The unique structure of the auricle is long known among forensic scientists and has been used for ...
    • Early childhood pre-service teachers’ preparation for using technology with children: a systematic literature review 

      Papavlasopoulou, Sofia; Undheim, Marianne; Meaney, Tamsin Jillian; Esmaeeli, Sara (Journal article; Peer reviewed, 2024)
      This systematic literature review examined how teacher education prepared early childhood pre-service teachers to utilise digital technology with children. After searching in relevant databases the review analysed 21 ...
    • Early cyber-grooming detection: Combining the Sliding window and Continuous risk-metric methods 

      Stien, Trond. (Master thesis, 2023)
      Cyber-grooming er et økende problem. Gjennom bruk av moderne teknologi kan en overgriper få tilgang til barn som tidligere var utenfor overgriperens geografiske begrensende område. Problemet er ikke bare et samfunnsproblem, ...
    • Early Detection of Cerebral Palsy Using Two Computer-Based Methods 

      Lundeby, Hege Gran (Master thesis, 2016)
      In this master thesis the assignment was to perform a statistical analysis of two different computer-based methods, to see which one that had the highest predictive ability for fidgety movements in infants. One method has ...
    • Early Detection of Cybergrooming Conversations 

      Tang, Jan Luo (Master thesis, 2023)
      Problemet omkring cybergrooming has fått mer oppmerksomhet etter hvert som flere personer knytter seg sammen digitalt. For å løse dette problemet kan forebyggende mekanismer som oppdager cybergrooming- forsøk i nettsamtaler ...
    • Early gender detection using keystroke dynamics and stylometry 

      Strømme, Reidar Johannessen (Master thesis, 2021)
      For mange mennesker har Internett blitt en viktig arena for å stifte nye bekjentskap. Dette innebærer ofte at man befinner seg i chatsamtaler der man ikke har noen garantier på at motparten er den som vedkommende utgir seg ...
    • Early gut mycobiota and mother-offspring transfer 2017 Aug 24;5(1):107. doi: 10.1186/s40168-017-0319-x. 

      Schei, Kasper; Avershina, Ekaterina; Øien, Torbjørn; Rudi, Knut; Follestad, Turid; Salamati, Saideh; Ødegård, Rønnaug (Journal article; Peer reviewed, 2017)
      Background The fungi in the gastrointestinal tract, the gut mycobiota, are now recognised as a significant part of the gut microbiota, and they may be important to human health. In contrast to the adult gut mycobiota, the ...
    • Early identification of high-risk credit card customers based on behavioral data 

      Flood, Morten Hansen (Master thesis, 2017)
      Credit card banking has for a long time been one of the most profitable types of banking. The largest cost for credit card companies is customers not paying their debt. Consequently, to accurately model the risk a customer ...
    • Early Meal Detection Based on Abdominal Sound 

      Søiland, Elise (Master thesis, 2019)
      Denne oppgaven beskriver utvikling og implementasjon av en algoritme for måltidsdeteksjon basert på lyd fra magen. Målet er at en slik algoritme skal være en del av en automatisk insulinpumpe, også kalt en kunstig ...
    • Early pack-off diagnosis in drilling using an adaptive observer and statistical change detection 

      Willersrud, Anders; Imsland, Lars Struen; Blanke, Mogens (Journal article, 2015)
      Pack-off is a partially or complete blocking of the circulation flow in oil and gas drilling, which can lead to costly delays. Early detection and localization of a pack-off is crucial in order to take necessary actions ...
    • Early Prediction of Cervical Cancer Using Matrix Factorization 

      Stapnes, Mikal (Master thesis, 2020)
      En av hundre norske kvinner kommer til å utvikle livmorhalskreft innen en alder av 75. Kreften er den tredje mest hyppige blant kvinner i alderen 25 til 49. De nordiske screeningprogramme for livmorhalskreft har en påvist ...
    • Early Prediction of Lung Cancers Using Deep Saliency Capsule and Pre-Trained Deep Learning Frameworks 

      Ramana, Kadiyala; Kumar, Madapuri Rudra; Sreenivasulu, K.; Gadekallu, Thippa Reddy; Bhatia, Surbhi; Agarwal, Parul; Sheikh, Mohammad Idrees (Peer reviewed; Journal article, 2022)
      Lung cancer is the cellular fission of abnormal cells inside the lungs that leads to 72% of total deaths worldwide. Lung cancer are also recognized to be one of the leading causes of mortality, with a chance of survival ...
    • Early Soft Biometric Voice Recognition 

      Heng, Marie Somnea (Master thesis, 2023)
      Voksne som utgir seg for å være barn kan utgjøre en trussel mot barn ved å oppgi feil alder på kommunikasjonsplattformer for å henvende seg til barn på nettet. For dette emnet er det utført studier der man undersøker den ...
    • Early Warnings of Corporate Bankruptcies Using Machine Learning Techniques 

      Gogstad, Jostein; Øysæd, Jostein (Master thesis, 2009)
      The tax history of a company is used to predict corporate bankruptcies using Bayesian inference. Our developed model uses a combination of Naive Bayesian classification and Gaussian Processes. Based on a sample of 1184 ...
    • Early warnings of critical diagnoses 

      Alvestad, Stig (Master thesis, 2009)
      A disease which is left untreated for a longer period is more likely to cause negative consequents for the patient. Even though the general practitioner is able to discover the disease quickly in most cases, there are ...