• Analysis of ECG from resuscitation of asphyxial neonates 

      Kleiveland-Hanssen, Erlend (Master thesis, 2022)
      Aim: Due to a high mortality rate for neonates with asphyxia in low resource countries, studies like this emerge in hope to make a difference. Electrocardiogram (ECG) data is used in this project to examine and analyze the ...
    • Analysis of Kinect motion capture capabilities for automated robotic painting systems 

      Finnestad, Yngve (Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06-15)
      The focus of this project is to determine the motion capture capabilities of the Kinect sensor. Motion capture is the process of recording human movement, and converting the captured data into a virtual environment. A ...
    • Analysis of large time-series data in OpenTSDB 

      Agrawal, Bikash (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)
      In recent years, the quantity of time series data generated in a wide variety of domains have grown consistently. Analyzing time-series datasets at a massive scale is one of the biggest challenges that data scientists ...
    • Analysis of Machine Learning Based Imputation of Missing Data 

      Rizvi, Syed Tahir Hussain; Latif, Muhammad Yasir; Amin, Muhammad Saad; Telmoudi, Achraf Jabeur; Shah, Nasir Ali (Peer reviewed; Journal article, 2023)
      Data analysis and classification can be affected by the availability of missing data in datasets. To deal with missing data, either deletion- or imputation-based methods are used that result in the reduction of data records ...
    • Analysis of Residential Household Energy Consumption Using Smart Meter Data 

      Nwemambu, Chibuzor Valentina (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
      The need to change the source of electricity generation is apparent in the effect of climate change on the environment. Asides from the source change to renewable energy, the necessity for residents to understand their ...
    • Analytic methods for human activities at home 

      Chinaveh, Leila (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      This is an application which used an algorithm for detecting the behaviour in the home. The process is based on using the motion sensors and the duration of time. By receiving the data from different places, the application ...
    • Annotation Markers for runtime replication protocol selection 

      Meling, Hein (Journal article; Peer reviewed, 2008)
      This paper presents an architecture enabling developers to easily and flexibly assign replication protocols simply by annotating individual server methods. This avoids using costly replication protocols for all object ...
    • Anomaly Detection in Smart Meter Data using BiLSTMGAN and Performance Analysis in Fog Network 

      Sommerli, Martin (Master thesis, 2022)
      In recent years, the introduction of Smart Grids has provided us with access to a new layer of energy consumption patterns. This new layer of consumption could be analyzed to boost efficiency, prevent power loss, and ...
    • Anomaly Detection of Smart Meter Data 

      Maatug, Fadwa (Master thesis, 2021)
      Presently, households and buildings use almost one-third of total energy consumption among all the power consumption sources. This trend is continuing to rise as more and more buildings install smart meter sensors and ...
    • Answering Engine for Sport Statistics: Question Processing 

      Blaauw, Øyvind (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017)
      In recent years, there has been an increasing growth of interest among computer scientists for the topic of Linked Data and the Semantic Web. By connecting and publishing structured data from multiple sources, the Web ...
    • Answering Engine for sports statistics: Development of an ontology and a knowledge base 

      Mehdipour Pirbazari, Aida (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-17)
      Focus of this study is on development of a domain-specific ontology and a knowledge base of facts for a Question Answering system. This QA system accepts natural language questions about statistics of Formula One and ...
    • Anvendelse av Grafalgoritme i Smart Strømnett 

      Karlsen, Markus Fenne; Ok, Enes (Bachelor thesis, 2022)
      Rituka Jaiswal og Reggie Davidrajuh utviklet en grafalgoritme for å finne Steinertrær i MATLAB programmeringsspråket. Algoritmen de utviklet kalles Jaiswal & Davidrajuhs algoritme. Dette prosjektet angår realisering, ...
    • Anvendelse av Grafalgoritme i Smart Strømnett 

      Karlsen, Markus Fenne; Ok, Enes (Bachelor thesis, 2022)
      Rituka Jaiswal og Reggie Davidrajuh utviklet en graf algoritme for å finne Steiner tre i kodespråket MATLAB . Algoritmen calles Jaiswal & Davidrajuh’s algorithm. Dette prosjektet dreier seg om virkeliggjøring, imple- mentering ...
    • Application of Borehole Thermal Energy Storage in Waste Heat Recovery from Diesel Generators in Remote Cold Climate Locations 

      Ghoreishi-Madiseh, Seyed Ali; Kuyuk, Ali Fahrettin; de Brito, Marco Antonio Rodrigues; Baidya, Durjoy; Torabigoodarzi, Zahra; Safari, Amir (Peer reviewed; Journal article, 2019-02)
      Remote communities that have limited or no access to the power grid commonly employ diesel generators for communal electricity provision. Nearly 65% of the overall thermal energy input of diesel generators is wasted through ...
    • Application of Machine Vision and Spectral Analysis in the Seafood industry 

      Ramakrishnan, Malavika (Master thesis, 2021)
      The Norwegian seafood industry contributes largely to the global economy as Norway is one of the leading producers of seafood. Atlantic salmon is a widely consumed species of fish and has a large global market. The nutritional ...
    • Applications of machine learning in petroleum system characterization using mud gas data 

      Ourir, Akram (Master thesis, 2022)
      Mud gas data are continuous measurements of the different compounds of the gas released from the formation while drilling. While these data are cheap and extensive, as they are always recorded for safety reasons, they are ...
    • Applying machine learning and deep learning algorithms to classify patients using EEG signals. 

      Zafar; Aziz (Master thesis, 2023)
      This thesis investigates the potential of Event-Related Potentials (ERPs) for subject-group classification. The ERPs data from five distinct subject groups are analyzed to evaluate the discriminatory power of ERPs in ...
    • Architectural issues in real-time business intelligence 

      Khatiwada, Sanjeev (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      Business organizations are always in need of fast and intelligent decision support system. Today’s Business environment is dynamic so data every minute are valuable. Real time Business intelligence (RTBI) is intelligence ...
    • Architectural Risk Analysis in Agile Development of Cloud Software 

      Jaatun, Martin Gilje (Chapter, 2019)
      Software in the cloud is predominantly developed using agile methodologies, where practices such as continuous deployment and DevOps contribute to increased speed and quick turnarounds. This increased speed does however ...
    • An architecture for self-healing autonomous object groups 

      Meling, Hein (Journal article; Peer reviewed, 2007)
      Jgroup/ARM is a middleware for developing and operating dependable distributed Java applications. Jgroup integrates the distributed object model of Java RMI with the object group paradigm, enabling construction of ...