• 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 ...
    • Linux Support for AVR32 UC3A: Adaption of the Linux kernel and toolchain 

      Driveklepp, Pål; Morken, Olav; Rangøy, Gunnar (Master thesis, 2009)
      The use of Linux in embedded systems is steadily growing in popularity. The UC3A is a series of high performance, low power 32-bit microcontrollers aimed at several industrial and commercial applications including PLC, ...
    • Lister: A Hybrid Approach for User-friendly Semantic Web Information Retrieval 

      Skaslien, Mats Jørgen (Master thesis, 2020)
      Søkemotorer for det Semantiske Nettet kan gi tilgang til store mengder strukturerte data, men allmennheten sliter med å ta dem i bruk. Studier på området indikerer at dårlig brukbarhet kan være roten av problemet. Det ...
    • A literature review of smart technology domains with implications for research on smart rural communities 

      Jakobsen, Kine Charlotte; Mikalsen, Marius; Lilleng, Grethe (Journal article; Peer reviewed, 2023)
      This literature review examines empirical research on smart technologies in eight domains and seeks to analyse implications for smart rural communities research. The development and implementation of smart technologies has ...
    • Literature-based knowledge discovery in climate science 

      Aamot, Elias (Master thesis, 2014)
      Climate change caused by anthropogenic activity is one of the biggest challenges of our time. Researchers are striving to understand the effects of global warming on the ecological systems of the oceans, and how these ...
    • Liver Activation of Hepatocellular Nuclear Factor-4α by Small Activating RNA Rescues Dyslipidemia and Improves Metabolic Profile 

      Huang, Kai-Wen; Reebye, Vikash; Czysz, Katherine; Ciriello, Simona; Dorman, Stephanie; Reccia, Isabella; Lai, Hong-Shiee; Peng, Ling; Kostomitsopoulos, Nikos; Nicholls, Joanna; Habib, Robert; Tomalia, Donald A.; Sætrom, Pål; Wilkes, Edmund; Cutillas, Pedro; Rossi, John; Habib, Nagy (Peer reviewed; Journal article, 2020)
      Non-alcoholic fatty liver disease (NAFLD) culminates in insulin resistance and metabolic syndrome. Because there are no approved pharmacological treatment agents for non-alcoholic steatohepatitis (NASH) and NAFLD, different ...
    • Liver surface reconstruction for image guided surgery 

      Wang, Congcong; Alaya Cheikh, Faouzi; Kaaniche, Mounir; Elle, Ole Jacob (Journal article; Peer reviewed, 2018)
      In image guided surgery, stereo laparoscopes have been introduced to provide a 3D view of the organs during the laparoscopic intervention. This stereo video could possibly be used for other purposes other than simple ...
    • Livesupport 1 

      Bjerke, Trond Viggo; Brattrud, Marianne; Repp, Synne Kvamme (Bachelor thesis, 2004)
      Oppgaven har gått ut på å utvikle et Livesupport-system for bedriften WebDeal. Et livesupport system er et system som tillater sanntids (live) kommunikasjon mellom kundebehandler og kunde. Dette systemet består, etter ...
    • LMT: Accurate and Resource-Scalable Slowdown Prediction 

      Salvesen, Peter; Jahre, Magnus (Peer reviewed; Journal article, 2022)
      Multi-core processors suffer from inter-application interference which makes the performance of an application depend on the behavior of the applications it happens to be co-scheduled with. This results in performance ...
    • Load Balancing of Pseudo-random Workloads on Heterogeneous Systems 

      Wenhaug, Anders (Master thesis, 2017)
      Heterogeneous computing systems using one or more graphics processing units (GPUs) as accelerators present unique load balancing challenges due to the architecture of the GPUs. Assigning a part of the workload proportional ...
    • Load-scheduling and Plug-in Hybrid Electric Vehicles in the Smart Grid 

      Haukedal, Eirik Daleng (Master thesis, 2012)
      To avoid the problem that increasing PHEV demand will further aggravate peak demand hours in the power grid, several different multi-agent scheduling mechanisms have been investigated, including two centralized scheduling ...
    • Lobster Watchdog 

      Melsom, Adrian Siim; Johansen, Tobias (Master thesis, 2019)
      Hummeroppdrett er et område som ikke har benyttet seg av teknologi som maskinlæring og er svært lite automatisert. Prosesser som fôring krever store mengder manuelt arbeid. Fasiliteter på land er lite skalerbare, der dagens ...
    • Lobster Watchdog 

      Melsom, Adrian Siim; Johansen, Tobias (Master thesis, 2019)
      Hummeroppdrett er et område som ikke har benyttet seg av teknologi som maskinlæring og er svært lite automatisert. Prosesser som fôring krever store mengder manuelt arbeid. Fasiliteter på land er lite skalerbare, der dagens ...
    • LoC – A new financial loan management system based on smart contracts 

      Wang, Hao; Guo, Chaonian; Cheng, Shuhan (Journal article; Peer reviewed, 2019)
      Current financial loan management systems are usually deployed in a single-service mode, also the transactions are not transparent and traceable to most of the roles participating in the process. Their data privacy protection ...
    • Local Delay Plasticity Supports Generalized Learning in Spiking Neural Networks 

      Farner, Jørgen Jensen; Huse Ramstad, Ola; Nichele, Stefano; Heiney, Kristine (Chapter, 2023)
      We propose a novel local learning rule for spiking neural networks in which spike propagation times undergo activity-dependent plasticity. Our plasticity rule aligns pre-synaptic spike times to produce a stronger and more ...
    • Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images 

      Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina (Journal article; Peer reviewed, 2019)
      Noise-based quality evaluation of MRI images is highly desired in noise-dominant environments. Current noise-based MRI quality evaluation methods have drawbacks which limit their effective performance. Traditional ...
    • Local, Early, and Precise: Designing a Clinical Decision Support System for Child and Adolescent Mental Health Services 

      Røst, Thomas Brox; Clausen, Carolyn E.; Øystein, Nytro; Koposov, Roman A; Leventhal, Bennett; Westbye, Odd Sverre; Bakken, Victoria; Flygel, Linda; Koochakpour, Kaban; Skokauskas, Norbert (Peer reviewed; Journal article, 2020)
      Mental health disorders often develop during childhood and adolescence, causing long term and debilitating impacts at individual and societal levels. Local, early, and precise assessment and evidence-based treatment are ...
    • Locality-adapted kernel densities of term co-occurrences for location prediction of tweets 

      Özdikis, Özer; Ramampiaro, Heri; Nørvåg, Kjetil (Journal article; Peer reviewed, 2019)
      While geographical metadata referring to the originating locations of tweets provides valuable information to perform effective spatial analysis in social networks, scarcity of such geotagged tweets imposes limitations on ...