Browsing UiS Brage by Author "Wiktorski, Tomasz"

Now showing items 1-20 of 35

    • 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 

      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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Data-driven sensitivity analysis of complex machine learning models: A case study of directional drilling 

      Tunkiel, Andrzej Tadeusz; Sui, Dan; Wiktorski, Tomasz (Peer reviewed; Journal article, 2020-12)
      Classical sensitivity analysis of machine learning regression models is a topic sparse in literature. Most of data-driven models are complex black boxes with limited potential of extracting mathematical understanding of ...

    • Denoising bathymetric data through deep learning 

      Gulbrandsen, Magnus Vedahl (Master thesis, 2023)
      Bathymetric data is an extension of a point cloud and is used to describe the seafloor relative to the water’s surface. It can be used to create maps that portray what the seafloor looks like. It is important for the ...

    • 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 ...

    • Digital Architecture for an Automated Drilling Rig 

      Gilje, Jonas Emanuel; Levang, Lars Sverre; Bø, Vidar André (Bachelor thesis, 2022)
      The objective of this thesis was to develop the digital architecture for a small-scale drill rig intended for use by the Drillbotics team at the Uni- versity of Stavanger, for an international student competition by the ...

    • Digital Architecture for an Automated Drilling Rig 

      Bø, Vidar André; Levang, Lars Sverre; Gilje, Jonas Emanuel (Bachelor thesis, 2022)
      The objective of this thesis was to develop the digital architecture for a small-scale drill rig intended for use by the Drillbotics team at the Uni- versity of Stavanger, for an international student competition by the ...

    • Digital Architecture for an Automated Drilling Rig 

      Gilje, Jonas Emanuel; Levang, Lars Sverre; Bø, Vidar André (Bachelor thesis, 2022)
      The objective of this thesis was to develop the digital architecture for a small-scale drill rig intended for use by the Drillbotics team at the University of Stavanger, for an international student competition by the ...

    • 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 ...

    • Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework 

      Tunkiel, Andrzej Tadeusz; Sui, Dan; Wiktorski, Tomasz (Peer reviewed; Journal article, 2021-11)
      Recurrent neural networks (RNN), which are able to capture temporal natures of a signal, are becoming more common in machine learning applied to petroleum engineering, particularly drilling. With this technology come ...