• Automated Drill Plan Using Reinforcement Machine Learning 

      Ofosu-Budu, Gideon (Master thesis, 2023)
    • Automated Fact-Checking of Podcasts 

      Becker, Adam James (Master thesis, 2023)
      Podcasts have gone mainstream and continue to attract ever larger audiences, particularly among younger demographics, while the internet-broadcast nature of the medium leaves listeners with little recourse in the face of ...
    • Automated false claims detection using deep neural networks 

      Rekve, Erlend (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      Recently false claims and misinformation have become rampant in the web, affecting election outcomes, stock markets, and various other societal issues. Consequently, fact-checking and claim verification websites such as ...
    • Automated Grading of Bladder Cancer using Deep Learning 

      Wetteland, Rune (PhD thesis UiS;, Doctoral thesis, 2022-02)
      Urothelial carcinoma is the most common type of bladder cancer and is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, ...
    • Automated MPD level in the oil and gas industry and development possibility 

      Majeed, Qassim Hameed (Masteroppgave/UIS-TN-IPT/2015;, Master thesis, 2015-06)
      Automation is introduced to the industrial field long time ago, but still in its first steps in the oil and gas industry. There are many reasons led to this slow of automation in this industry. These reasons related to the ...
    • Automated mud sampling system for measuring viscosity and density 

      Kästel, Alexander (Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-26)
      Drilling fluids are perhaps the most important feature of a drilling operation, it is a multipurpose fluid that also functions as an information channel to the surface. Traditionally drilling fluid properties like density ...
    • Automated Real-Time Rate of Penetration Optimization Using Trend and Dynamic Analysis in Drilling Operations. 

      Ochije, Uchenna Blesseth (Master thesis, 2023)
      Several drilling parameters influence the rate of penetration (ROP), including formation strength, normal compaction, bottom-hole pressure differential, flow rate, weight on bit (WOB), rotary speed (RPM), bit diameter, bit ...
    • Automated software security activities in a continuous delivery pipeline 

      Chalishhafshejani, Sohrab; Pham, Bao Khanh (Master thesis, 2021)
      Due to the rise of cyberattacks in IT companies, Software security has become a topic for debate. Currently, to secure their products, companies often use manual methods, which makes development stalled and inefficient. ...
    • Automated software security activities in a continuous delivery pipeline 

      Pham, Bao Khanh; Chalishhafshejani, Sohrab (Master thesis, 2021)
      Due to the rise of cyberattacks in IT companies, software security has become a topic for debate. Currently, to secure their products, companies often use manual methods, which makes development stalled and inefficient. ...
    • Automated test case generation for the Paxos single-decree protocol using a Coloured Petri Net model 

      Wang, Rui; Kristensen, Lars Michael; Meling, Hein; Stolz, Volker (Peer reviewed; Journal article, 2019-04)
      Implementing test suites for distributed software systems is a complex and time-consuming task due to the number of test cases that need to be considered in order to obtain high coverage. We show how a formal Coloured Petri ...
    • Automated test case generation for the Paxos single-decree protocol using a Coloured Petri Net model 

      Wang, Rui; Kristensen, Lars Michael; Meling, Hein; Stolz, Volker (Peer reviewed; Journal article, 2019-04)
      Implementing test suites for distributed software systems is a complex and time-consuming task due to the number of test cases that need to be considered in order to obtain high coverage. We show how a formal Coloured Petri ...
    • Automated testing of industrial robots using HTC Vive for motion tracking 

      Sletten, Kristian (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)
      Producers of industrial robots are continuously maintaining and upgrading their software that is running on their robot controllers, to improve and expand the functionalities. Extensive testing is performed to verify ...
    • Automated Trading System using Machine Learning 

      Fleischer, Didrik (Masteroppgave/UIS-TN-ISØP/2019;, Master thesis, 2019-06-15)
      This thesis investigates how machine learning can be applied in automated trading systems. To this end, an automated trading system driven by machine learning algorithms is developed. The system’s design is inspired by ...
    • Automated well control using MPD approach 

      Birkeland, Trygve (Masteroppgave/UIS-TN-IPT/2009, Master thesis, 2009)
      The easy oil and gas is gone. Newly discovered fields follow the trend of being smaller and harder to reach, moving to increasingly remote locations with high temperatures. The huge fields of the past are maturing and ...
    • Automated Well Monitoring: Machine Learning and Web Application 

      Zhurda, Anisa (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The challenge within the oil and gas industry is that of complexity and therefore cost, specifically due to the tough working environments and delays/downtime . Therefore, digitization is proposed as a cost saving opportunity ...
    • Automatic adjustment of drilling fluid properties 

      Dahlem, Aleksander (Masteroppgave/UIS-TN-IPT/2013;, Master thesis, 2013)
      The primer objective of this thesis was to implement and test, in the automated drilling hydraulics laboratory at the University of Stavanger, a system for automatic adjustment of viscosity of a fluid. The fluid used to ...
    • Automatic AI-Driven segmentation of Acute Ischemic Stroke Regions with CT Perfusion Images 

      Tomasetti, Luca (PhD thesis UiS;, Doctoral thesis, 2023)
      This thesis investigates artificial intelligence (AI) methodologies to automatically delineate ischemic areas of brain Computed Tomography Perfusion (CTP) scans acquired at hospital admission in patients suspected of acute ...
    • Automatic analysis of X (Twitter) data for supporting depression diagnosis 

      Królak, Aleksandra; Wiktorski, Tomasz; Żmudzińska, Aleksandra (Peer reviewed; Journal article, 2023-12)
      Depression is an increasingly common problem that often goes undiagnosed. The aim of this paper was to determine whether an analysis of tweets can serve as a proxy for assessing depression levels in the society. The work ...
    • Automatic annotation of data collected through Inertial sensors 

      Inthrakumar, Rakul (Bachelor thesis, 2023)
      The data annotation process is a time-consuming process related to Human Activity Recognition (HAR). The data annotation process is generally done by a human assigned to watch video recordings of activities executed by ...
    • Automatic collection and storage of smart city data with semantic data model discovery and sample data analysis 

      Minde, Julian (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)
      Collecting and storing smart city data is a task that requires thorough data exploration, configuring and testing to be of value. Configuring a data collection pipeline for data from a new data provider needs to take into ...