• 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 ...
    • Artifact Correction in Short-Term HRV during Strenuous Physical Exercise 

      Krolak, Aleksandra; Wiktorski, Tomasz; Bjørkavoll-Bergseth, Magnus; Ørn, Stein (Peer reviewed; Journal article, 2020-11)
      Heart rate variability (HRV) analysis can be a useful tool to detect underlying heart or even general health problems. Currently, such analysis is usually performed in controlled or semi-controlled conditions. Since many ...
    • Automated data alignment during sports events 

      Fattnes, Aleksander Odland; Larsen, Kristoffer Skjæveland (Bachelor thesis, 2021)
      We develop an algorithm to automate data alignment by precisely identifying stops in data collected from NEEDED 2018. Our approach make suggestions for a corrected timestamp and create a reports which are used for final ...
    • Automated data alignment during sports events 

      Larsen, Kristoffer Skjæveland; Fattnes, Aleksander Odland (Bachelor thesis, 2021)
      We develop an algorithm to automate data alignment by precisely identifying stops in data collected from NEEDED 2018. Our approach make suggestions for a corrected timestamp and create a reports which are used for final ...
    • Bridging the demand and the offer in data science 

      Belloum, Adam SZ; Koulouzis, Spiros; Wiktorski, Tomasz; Manieri, Andrea (Peer reviewed; Journal article, 2019-03)
      During the last several years, we have observed an exponential increase in the demand for Data Scientists in the job market. As a result, a number of trainings, courses, books, and university educational programs (both at ...
    • Categorising offshore wind turbine installations, and investigating the weather impact during installations. 

      Gliniecki, Tomasz (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      Categorising offshore wind turbine installations, and investigating the weather impact during installations.
    • Data Analysis for Physical Activity Monitoring 

      Khan, Rameesha Asghar (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      Physical activity is essential for humans for maintaining a healthy and comfortable lifestyle. With science and technological advancements, there comes various guidelines for the amount of physical activity a person ...
    • Data quality and transit delay analysis for historical AVL data based on the SIRI protocol 

      Foss, Ine (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016)
      Traffic agencies are investing in advanced technologies to improve their services. An automatic vehicle monitoring (AVM) system with vehicle location provides vehicles with a device to record information. In a bus transit ...
    • Determinants of interindividual variation in exercise-induced cardiac troponin i levels 

      Bjørkavoll-Bergseth, Magnus; Erevik, Christine Bjørkvik; Kleiven, Øyunn; Eijsvogels, Thijs M. H.; Skadberg, Øyvind; Frøysa, Vidar; Wiktorski, Tomasz; Auestad, Bjørn; Edvardsen, Thor; Aakre, Kristin Moberg; Ørn, Stein (Peer reviewed; Journal article, 2021-08)
      Background Postexercise cardiac troponin levels show considerable interindividual variations. This study aimed to identify the major determinants of this postexercise variation in cardiac troponin I (cTnI) following 3 ...
    • Extended approach to sum of absolute differences method for improved identification of periods in biomedical time series 

      Wiktorski, Tomasz; Krolak, Aleksandra (Peer reviewed; Journal article, 2020-10)
      Time series are a common data type in biomedical applications. Examples include heart rate, power output, and ECG. One of the typical analysis methods is to determine longest period a subject spent over a given heart rate ...
    • Garmin applikasjon for analyse av helsedata 

      Hvitsten, Eirik; Gulbrandsen, Magnus; Hansen, Sigurd Grøvdal (Bachelor thesis, 2021)
      Denne bacheloroppgaven går ut på lage en applikasjon som skal brukes på en Garmin-smartklokke. Applikasjonen bruker de to maskinlæringsmetodene lineær regresjon og bestemmelsestre til å komme fram til om en person har ...
    • Hybrid Human/Machine Interpretation of Well Logs using Deep Learning 

      Haraldsen, Eirik Solland; Østrådt, Karl Meisland (Master thesis, 2021)
      Exploration and production wells in the oil and gas industry produce a vast amount of logging data. All petroleum data from the Norwegian continental shelf must be quality controlled and reported in a structured manner to ...
    • Hybrid Human/Machine Interpretation of Well Logs using Deep Learning 

      Haraldsen, Eirik Solland; Østrådt, Karl Meisland (Master thesis, 2021)
      Exploration and production wells in the oil and gas industry produce a vast amount of logging data. All petroleum data from the Norwegian continental shelf must be quality controlled and reported in a structured manner to ...
    • Investigation and study on reinforcement learning for optimizing well path 

      Chowdhury, Samiul Ehsan (Master thesis, 2021)
      Designing an optimal path has been considered one of the key challenges for drilling engineers. Even for a group of competent engineers, it takes many months to plan a well. A robust optimized path can influence total cost ...
    • Machine Learning Based System Health Check Analyzer For Energy Components 

      Alex, Anju (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      In any system health check is an important measure, which provides details on how the system is performing and whether there is a need for an intervention manual or automated to correct any anomaly. There are several ...
    • Methods for preprocessing time and distance series data from personal monitoring devices 

      Wiktorski, Tomasz; Bjørkavoll-Bergseth, Magnus; Ørn, Stein (Peer reviewed; Journal article, 2020-06)
      There is a need to develop more advanced tools to improve guidance on physical exercise to reduce risk of adverse events and improve benefits of exercise. Vast amounts of data are generated continuously by Personal Monitoring ...
    • Minimum Word Error Rate Training for Speech Separation 

      Seo, Jungwon (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
      The cocktail party problem, also known as a single-channel multi-talker problem, is a significant challenge to enhance the performance of automatic speech recognition (ASR) systems. Most existing speech separation model ...
    • Open shop scheduling in a manufacturing company using machine learning 

      Strand, Håkon Hapnes (Master thesis, 2016-12-12)
      Scheduling jobs in a manufacturing company that delivers custom products is challenging. Aarbakke is a company that manufactures advanced assemblies for the oil and gas industry. Its existing resource planning tool frequently ...
    • Reference Dataset for Rate of Penetration Benchmarking 

      Tunkiel, Andrzej Tadeusz; Sui, Dan; Wiktorski, Tomasz (Peer reviewed; Journal article, 2020-10)
      In recent years, there were multiple papers published related to rate of penetration prediction using machine learning vastly outperforming analytical methods. There are models proposed reportedly achieving R2 values as ...
    • The application of big data analysis and machine learning for kick detection and kick prediction during drilling operations 

      Farzad, Maryam (Master thesis, 2021)
      Drilling operations for oil and gas extraction is a complex and risky process. Workers are not able to start the drilling operations unless they carefully accomplish some pre-drilling activities such as choosing a proper ...