• Leveraging Natural Language Processing in Data Synthesis for use in Entity Matching 

      Nilsen, Daniel; Simmersholm, Aleksander (Master thesis, 2022)
      Entity Matching (EM) er en vanskelig oppgave som tidligere måtte bli utført manuelt. Metoder som benytter Kunstig Intelligens har siden blitt utviklet for å automatisere denne prosessen, men for å prestere bra er de avhengig ...
    • Leveraging Natural Language Processing in Data Synthesis for use in Entity Matching 

      Nilsen, Daniel; Simmersholm, Aleksander (Master thesis, 2022)
      Entity Matching (EM) er en vanskelig oppgave som tidligere måtte bli utført manuelt. Metoder som benytter Kunstig Intelligens har siden blitt utviklet for å automatisere denne prosessen, men for å prestere bra er de avhengig ...
    • Leveraging sensing-based interaction for supporting reflection at work: the case of crisis training 

      Mora, Simone (Doctoral thesis at NTNU;2015:123, Doctoral thesis, 2015)
      Continuous training for preparedness empowers crisis workers (e.g. firefighters, paramedics) to achieve better performance and commitment in providing help to the communities struck by a nature or human-caused crisis. ...
    • Leveraging Synthetic Data for Boosting Occluded Sheep Detection in UAV Images 

      Borander, Jørgen; Langaard, Sindre (Master thesis, 2023)
      Hvert høst samler norske bønder inn omtrent 2 millioner sauer og lam fra beite. Å lokalisere og samle alle sauene kan være en tidkrevende og langtrukken prosess da noen av sauene kan ha vandret langt utenfor sitt opprinnelige ...
    • Leveraging Synthetic Data for Boosting Occluded Sheep Detection in UAV Images 

      Borander, Jørgen; Langaard, Sindre (Master thesis, 2023)
      Hvert høst samler norske bønder inn omtrent 2 millioner sauer og lam fra beite. Å lokalisere og samle alle sauene kan være en tidkrevende og langtrukken prosess da noen av sauene kan ha vandret langt utenfor sitt opprinnelige ...
    • Leveraging Turbine-Level Data in a Deep Learning Approach for Wind Power Forecasting 

      Rommetveit, Herman; Kleppe, Lars Martin (Master thesis, 2021)
      Abstract will be available on 2024-06-18
    • Leveraging turbine-level data in a deep learning approach for wind power forecasting 

      Rommetveit, Herman; Kleppe, Lars Martin (Master thesis, 2021)
      Abstract will be available on 2024-06-18
    • License Management in Closed Offline Networks Using Modern Cryptographic Solutions 

      Brekke, Sander Osvik; Norderhaug, Ivan; Svanholm, Kristian Røren (Bachelor thesis, 2023)
      Nevion ønsket en løsning til et system som benytter seg av en tidsbasert lisensieringsmodell der kunden selv skal kunne generere del-lisenser av en større lisens på Nevions vegne, uten internettilkobling. Gjennom dette ...
    • License Management in Closed Offline Networks Using Modern Cryptographic Solutions 

      Brekke, Sander Osvik; Norderhaug, Ivan; Svanholm, Kristian Røren (Bachelor thesis, 2023)
      Nevion ønsket en løsning til et system som benytter seg av en tidsbasert lisensieringsmodell der kunden selv skal kunne generere del-lisenser av en større lisens på Nevions vegne, uten internettilkobling. Gjennom dette ...
    • LiDAR Street View 

      Røskaft, Håkon Eilertsen; Schrader, Sander August Heggland (Bachelor thesis, 2023)
      De siste årene har utvikling innen selvkjørende biler ført til en økende interesse for LiDAR-sensorer, siden disse gir ekstremt nøyaktige målinger. Den økende interessen for LiDAR har fått noen selskaper til å utforske ...
    • LieNet: A deep convolution neural Network framework for detecting deception 

      Karnati, Mohan; Seal, Ayan; Yazidi, Anis; Krejcar, Ondrej (Peer reviewed; Journal article, 2022)
      Nowadays, automatic deception detection has received considerable attention in the machine learning community owing to this research interest to its vast applications in the fields of social media, interviews, law enforcement, ...
    • Light scalars in the Weinberg 3HDM potential with spontaneous CP violation 

      Plantey, Robin Maurice Yves; Øgreid, Odd Magne; Osland, Per; Rebelo, Margarida N.; Solberg, Marius (Journal article; Peer reviewed, 2022)
      The Z2×Z2-symmetric 3HDM potential, sometimes called Weinberg's 3HDM potential, can accommodate both explicit and spontaneous CP violation as well as natural flavour conservation and is hence relevant for studies of CP ...
    • Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing 

      Ullah, Hayat; Muhammad, Khan; Irfan, Muhammad; Anwar, Saeed; Sajjad, Muhammad; Imran, Ali Shariq; Albuquerque, Victor Hugo C. de (Peer reviewed; Journal article, 2021)
      Due to the rapid development of artificial intelligence technology, industrial sectors are revolutionizing in automation, reliability, and robustness, thereby significantly increasing quality and productivity. Most of the ...
    • Lightweight Convolution Neural Networks for Mobile Edge Computing in Transportation Cyber Physical Systems 

      Zhou, Junhao; Dai, Hong-Ning; Wang, Hao (Peer reviewed; Journal article, 2019)
      Cloud computing extends Transportation Cyber-Physical Systems (T-CPS) with provision of enhanced computing and storage capability via offloading computing tasks to remote cloud servers. However, cloud computing cannot ...
    • Lightweight Livestock Monitoring with Vision Transformer 

      Lien, Andreas Kilde (Master thesis, 2023)
      Betydelige fremskritt har blitt gjort innen identifikasjon av individuelle husdyr ved bruk av konvolusjonelle nevrale nettverk (CNNs). Til tross for disse fremskrittene, er det fortsatt rom for å forbedre deres ytelse. ...
    • Likhetssøk i tidsserier 

      Barkhall, Håvard (Master thesis, 2018)
      I denne masteroppgaven er det fokus på å kunne søke i tidsserier etter spesifikke mønstre. Dette med tanke på feilsøking i historikken til industrielle apparaturer. Til denne oppgaven er det utdelt et sett med data, et ...
    • Linear Programming on the Cell/BE 

      Eldhuset, Åsmund (Master thesis, 2009)
      Linear programming is a form of mathematical optimisation in which one seeks to optimise a linear function subject to linear constraints on the variables. It is a very versatile tool that has many important applications, ...
    • LingoBee and Detached Learners 

      Ghalichi, Arezoo (Master thesis, 2014)
      LingoBee is a mobile application, which was designed as a tool for language learning. This application assists learners by providing them a community for language learning. This mobile app is running on Android operation ...
    • Linkage Quality Analysis of GeoNames in the Semantic Web 

      Ahlers, Dirk (Chapter, 2017)
      We examine the GeoNames gazetteer as a hub of Linked Geospatial Data. We survey quality and linkage characteristics to understand how well it supports the traversal of the Semantic Web and which limitations exist. We examine ...
    • Linux for SHMAC 

      Amundsen, Håkon Furre; Andersson, Joakim Erik Christopher (Master thesis, 2014)
      For several years it has been possible to improve processor performance by taking advantage of the ever increasing transistor density.Recently, the power demand of processors has exceeded their power budget, so it is no ...