Now showing items 2667-2686 of 6569

    • Financial News Mining: - Extracting useful Information from Continuous Streams of Text 

      Lægreid, Tarjei; Sandal, Paul Christian (Master thesis, 2006)
      Online financial news sources continuously publish information about actors involved in the Norwegian financial market. These are often short messages describing temporal relations. However, the amount of information is ...
    • Financial News Mining:: Extracting useful Information from Continuous Streams of Text 

      Lægreid, Tarjei; Sandal, Paul Christian (Master thesis, 2006)
      Online financial news sources continuously publish information about actors involved in the Norwegian financial market. These are often short messages describing temporal relations. However, the amount of information is ...
    • Finding an Optimal Approach for Indexing DNA Sequences 

      Brujordet, Anders (Master thesis, 2010)
      In this thesis you should find an optimal approach to index and retriev DNA sequences. As part of the task you should develop an algorithm that is fast, and accurate enough to find relevant sequences. The result will be ...
    • Finding and Mapping Expertise Automatically Using Corporate Data 

      Vennesland, Audun (Master thesis, 2007)
      In an organization, both management as well as new and experienced employees often have a need to get in touch with experts in a variety of situations. The new staff members need to learn how to perform their job, the ...
    • Finding Data Should be Easier than Finding Oil 

      Kharlamov, Evgeny; Skjæveland, Martin G; Hovland, Dag; Mailis, Theofilos; Jimenez-Ruiz, Ernesto; Xiao, Guohui; Soylu, Ahmet; Horrocks, Ian; Waaler, Arild (Chapter, 2018)
      The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive ...
    • Finding Data Should be Easier than Finding Oil 

      Kharlamov, Evgeny; Skjæveland, Martin G; Mailis, Theofilos; Jimenez-Ruiz, Ernesto; Xiao, Guohui; Soylu, Ahmet; Lie, Hallstein; Waaler, Arild (Journal article; Peer reviewed, 2018)
      The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive ...
    • Finding kings in tournaments 

      Biswas, Arindam; Jayapaul, Varunkumar; Raman, Venkatesh; Satti, Srinivasa Rao (Peer reviewed; Journal article, 2022)
    • Finding Security Patterns to Countermeasure Software Vulnerabilities 

      Borstad, Ole Gunnar (Master thesis, 2008)
      Software security is an increasingly important part of software development as the risk from attackers is constantly evolving through increased exposure, threats and economic impact of security breaches. Emerging security ...
    • Finding the Nearest Wheelchair: the Application of AI Search Methods to Logistical Problems in the Hospital 

      Rognhaugen, Aleksander (Master thesis, 2014)
      Ever since the invention of the Global Positioning System (GPS) and its slow entry into the public domain in the 80s and 90s, location tracking has become an increasingly important tool for scientific research, surveillance, ...
    • Fine-grained Twitter geolocation prediction based on metadata 

      Johannes Zelalem Vollan (Master thesis, 2019)
      Knowledge about exact tweet location is valuable for several reasons. The proportion of geotagged tweets are reported to be low, ranging from 0.42% to 3% [8; 5; 17]. Estimation of tweet location based on tweet text has ...
    • FINN: A Framework for Fast, Scalable Binarized Neural Network Inference 

      Umuroglu, Yaman; Fraser, Nicholas J.; Gambardella, Giulio; Blott, Michaela; Leong, Philip W.; Jahre, Magnus; Vissers, Kees (Chapter, 2017)
      Research has shown that convolutional neural networks contain significant redundancy, and high classification accuracy can be obtained even when weights and activations are reduced from floating point to binary values. In ...
    • Finnes forløp i helsedata?: En undersøkelse av innhold, samsvar og datakvalitet for et pasientadministrativt system og Norsk pasientregister, med fokus på forløpsrelaterte hendelser. 

      Woll, Rannveig (Master thesis, 2012)
      BAKGRUNN: Pågående nasjonale prosjekter har mål om økt kunnskapsgrunnlag for å oppnå bedre kvalitet på behandlingstjenester i helsevesenet og for mer helhetlige pasientforløp. Dette skal oppnås gjennom forbedring av ...
    • First year computer science education in Norway 

      Lorås, Madeleine; Sindre, Guttorm; Aalberg, Trond (Journal article; Peer reviewed, 2018)
      The need for ICT knowledge in Norway is increasing and the demand for candidates is currently higher than the number of students graduating. It has been identified that the first-year experience is crucial to student ...
    • First Year Computing Study Behavior: Effects of Educational Design 

      Lorås, Madeleine; Aalberg, Trond (Peer reviewed; Journal article, 2020)
      This full research paper presents a study exploring first year computing students' study behavior and the effects of educational design. Some research has indicated that the relationship between students' study behavior ...
    • Fish Detection in Underwater Video 

      Bjerken, Benjamin Letnes; Holter, Lars Blütecher; Huynh, Daniel Hao; Wangerud, Lillian Alice (Bachelor thesis, 2023)
      Studier av dyreliv krever innsamling og analyse av store mengder data, som kan være en tidkrevende og arbeidskrevende oppgave. Det norske instituttet for naturforskning (NINA) har gjennomført omfattende forskning på akvatiske ...
    • FishNet: A Unified Embedding For Salmon Recognition 

      Meidell, Espen; Sjøblom, Edvard Schreiner (Master thesis, 2019)
      Dagens metoder for markering og sporing av oppdrettslaks baserer seg p˚a fysisk kontakt med fisken. Denne prosessen er b˚ade ineffektiv, stressende og potensielt skadelig for laksen. Bruken av dyp læring har de siste ˚arene ...
    • FishNet: A Unified Embedding for Salmon Recognition 

      Meidell, Espen; Sjøblom, Edvard Schreiner (Master thesis, 2019)
      Dagens metoder for markering og sporing av oppdrettslaks baserer seg på fysisk kontakt med fisken. Denne prosessen er både ineffektiv, stressende og potensielt skadelig for laksen. Bruken av dyp læring har de siste årene ...
    • FishNet: A Unified Embedding for Salmon Recognition 

      Mathisen, Bjørn Magnus; Bach, Kerstin; Meidell, Espen; Måløy, Håkon; Sjøblom, Edvard Schreiner (Chapter, 2020)
      Identifying individual salmon can be very beneficial for the aquaculture industry as it enables monitoring and analyzing fish behavior and welfare. For aquaculture researchers identifying indi- vidual salmon is imperative ...
    • Fitbit for learning: Towards capturing the learning experience using wearable sensing 

      Giannakos, Michail; Sharma, Kshitij; Papavlasopoulou, Sofia; Pappas, Ilias; Kostakos, Vassilis (Journal article; Peer reviewed, 2020)
      The assessment of learning during class activities mostly relies on standardized questionnaires to evaluate the efficacy of the learning design elements. However, standardized questionnaires pose additional strain on ...
    • Fitogotchi - An Exergame Designed to Change People's Everyday Physical Activity Habits 

      Dalseth, Jonas Andre (Master thesis, 2017)
      As people in the modern society adopt increasingly sedentary lifestyles, health problems like obesity, cardiovascular diseases, bone and joint diseases and some types of cancer, became more widespread then before. In ...