• Classification of histological images of bladder cancer using deep learning 

      Wetteland, Rune (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)
      In Norway bladder cancer is the fourth most common cancer type among men, with an almost 70 % increase in incidence the past four decades. For women, the increase has been about 40 %. The histological images of bladder ...
    • Classifying Dinoflagellates in Palynological Slides Using Convolutional Neural Networks 

      Nesse, Aleksander Borge (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      The petroleum industry is still one of the largest contributors to the Norwegian economy. Experts estimates that of the total reserves on the Norwegian shelf only 52 percent have been discovered. During test drilling, core ...
    • Collection and use of uncertain data in a mobile GIS 

      Stølsmark, Ragnar (Masteroppgave/UIS-TN-IDE/2009, Master thesis, 2009)
      This study looked into the possibility of saving power in mobile geographical information systems by extending the interval between GPS updates. A J2ME application has been developed to test this theory. Via a map it can ...
    • Coloring GPenSIM 

      Hatlevold, Jens Otto (Masteroppgave/UIS-TN-IDE/2008, Master thesis, 2008)
      The object of this report is to present a solution on how to implement color functionality in GPenSIM. Current version of GPenSIM is based on Place/Transition nets (PT-nets). When creating systems with PT-nets there are ...
    • Comparative analysis of mathematical models describing glucose-insulin regulation in vivo 

      Knudsen, Ingeborg Siem (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013-05)
      In this thesis, mathematical models describing glucose-insulin regulation within the human body have been studied. Glucoregulatory models are valuable in diabetes related research. Monitoring glucose-insulin dynamics, testing ...
    • Comparative Analysis of Sampling Methods for Imbalanced Classification 

      Koloszyc Piotr; Li Rongbing (Master thesis, 2023)
      Assigning class labels to instances is a key component of the machine learning technique known as classification predictive modeling. While concentrating largely on balanced classification problems, which are thought to ...
    • Comparative Analysis of Sampling Methods for Imbalanced Classification 

      Li, Rongbing; Koloszyc, Piotr (Master thesis, 2023)
      Assigning class labels to instances is a key component of the machine learning technique known as classification predictive modeling. While concentrating largely on balanced classification problems, which are thought to ...
    • Comparison of Machine Learning Services 

      Nketah, Gabriel (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06)
      In this paper, three Cloud Machine Learning services are considered using the same dataset to run predictions on each of them. These services are quantitatively and qualitatively analyzed and compared by considering their ...
    • Comprehensive Python module for computing and visualizing dynamic time warping alignment: DTWPy 

      Gulzar, Hafiz Muhammad (Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06-15)
      Dynamic Time Warping (DTW) is a well-known technique used to determine alignment between two temporal sequences. DTW has been used in wide range of applications and it can be applied on any data which can be represented ...
    • Condition based monitoring - Early-warning system for NOV Cyberbase™ 

      Løvik, Daniel (Bachelor thesis, 2022)
      This thesis project aimed to investigate viable parameters in a condition monitoring system, which could provide an indication for machine degradation, based on the severity of the measured vibration on key components. The ...
    • Constructing a Personal Knowledge Graph from Disparate Data Sources 

      Langholm,Einar (Master thesis, 2021)
      This thesis revolves around the idea of a Personal Knowledge Graph as a uniform coherent structure of personal data collected from multiple disparate sources: A knowledge base consisting of entities such as persons, events, ...
    • Context Modeling for User Simulation for Conversational Information Access 

      Drzewiecki, Aleksander Drzewiecki; Afzali, Jafar (Master thesis, 2022)
      Conversational Information Access systems are systems that help satisfy the information needs of their users via multi-turn conversations. These systems are different from traditional information access systems as they can ...
    • Context Modeling for User Simulation for Conversational Information Access 

      Afzali, Jafar; Drzewiecki, Aleksander Mark (Master thesis, 2022)
      Conversational Information Access systems are systems that help satisfy the information needs of their users via multi-turn conversations. These systems are different from traditional information access systems as they can ...
    • Control system for sheep tracking network 

      Cocanu, Laurentiu (Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)
      FlockWatch is part of an ongoing sheep tracking research project. The goal of this project is to design a system for locating sheep or other animals grazing in the mountains by using sensor nodes (Waspmote), equipped with ...
    • Conversational AI for Serving Fact-Checks 

      Nilsen, Ole Petter (Master thesis, 2022)
      The purpose of this thesis was to create a conversational AI for serving fact-checks, using a collection of already existing fact-checking articles. The conversational AI uses a hybrid system, combining both a question ...
    • A Conversational Movie Recommender System 

      Habib, Javeria (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      The purpose of a Conversational Recommender System is to help the users achieve their recommendation specific goals using a multi-turn dialogue. In recent years, numerous studies are conducted on improving the quality ...
    • A Conversational Movie Recommender System 

      Habib, Javeria (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The purpose of a Conversational Recommender System is to help the users achieve their recommendation specific goals using a multi-turn dialogue. In recent years, numerous studies are conducted on improving the quality ...
    • CoolEngine: Simulering av Realistiske Flammer og Røyk i et Unity3D Basert Tunnelflamme Redningspill 

      Mydland, Benjamin; Oftedal, Ove (Bachelor thesis, 2022)
      Simulering av flammer i et 3D-miljø er ingenting nytt; men verktøyene brukt for å simulere flammer i slike scenarioer er veldig begrensede, ettersom de sjeldent er hovedfokuset i et slikt scenario og siden flammer er veldig ...
    • CoolEngine: Simulering av Realistiske Flammer og Røyk i et Unity3D Basert Tunnelflamme Redningspill 

      Mydland, Benjamin; Oftedal, Ove (Bachelor thesis, 2022)
      Simulering av flammer i et 3D-miljø er ingenting nytt; men verktøyene brukt for å simulere flammer i slike scenarioer er veldig begrensede, ettersom de sjeldent er hovedfokuset i et slikt scenario og siden flammer er veldig ...
    • Creating a Movie Recommendation Chatbot for the Facebook Messenger Platform 

      Berge, Fredrik Seim (Bachelor thesis, 2021)
      The main goal of this thesis is to create a Facebook Messenger bot for the IAI MovieBot recommending system. The MovieBot is adapted to run on Messenger and Telegram simultaneously. Additionally, an adapted version of the ...