Blar i Department of Electrical and Computer Engineering (TN-IDE) på tittel

Viser treff 574-593 av 1094

    • Learning to Recommend Biopsies for Prostate Cancer with Deep Learning 

      Thangngat, Philip; Rolfsnes, Erlend Sortland (Bachelor thesis, 2023)
      Prostate cancer (PCa) is one of the most prevalent cancer types in the world, and it is the dominant type of cancer among males in Norway. Detection of PCa is done with the help of magnetic resonance imaging (MRI), which ...

    • LMI-based design of state-feedback controllers for pole clustering of LPV systems in a union of DR-regions 

      Yang, Ruicong; Rotondo, Damiano; Puig, Vicenç (Peer reviewed; Journal article, 2021)
      This paper introduces an approach for the design of a state-feedback controller that achieves pole clustering in a union of DR-regions for linear parameter varying systems. The design conditions, obtained using a partial ...

    • Lokalisering av type-skilt i anleggsbilder 

      Andersen, Ole Ronny (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      Denne rapporten tar for seg en algoritme som automatisk lokaliserer type-skilt i anleggsbilder. Den store variasjonen i struktur, størrelse, form, farger, bakgrunner og vinkel bilder er tatt fra har gjort oppgaven ...

    • A Low-Cost Wireless Body Area Network for Human Activity Recognition in Healthy Life and Medical Applications 

      Demrozi, Florenc (Peer reviewed; Journal article, 2023)
      Moved by the necessity, also related to the ongoing COVID-19 pandemic, of the design of innovative solutions in the context of digital health, and digital medicine, Wireless Body Area Networks (WBANs) are more and more ...

    • Lærings System og Smart Tekst Editor for å forbedre Lærer - Student Samarbeid 

      Billa, Osama; Kassaye, Yohannes Dawit (Bachelor thesis, 2021)
      Web Utvikling, TypeScript, JavaScript, HTML, CSS, MySQL, Database, Vue.js, Node.js

    • Lærings System og Smart Tekst Editor for å forbedre Lærer - Student Samarbeid 

      Billa, Osama; Kassaye, Yohannes Dawit (Bachelor thesis, 2021)
      Web Utvikling, TypeScript, JavaScript, HTML, CSS, MySQL, Database, Vue.js, Node.js

    • Machine learning algorithms vs. thresholding to segment ischemic regions in patients with acute ischemic stroke 

      Tomasetti, Luca; Høllesli, Liv Jorunn; Engan, Kjersti; Kurz, Kathinka Dæhli; Kurz, Martin Wilhelm; Khanmohammadi, Mahdieh (Peer reviewed; Journal article, 2021-07)
      Objective: Computed tomography (CT) scan is a fast and widely used modality for early assessment in patients with symptoms of a cerebral ischemic stroke. CT perfusion (CTP) is often added to the protocol and is used by ...

    • Machine Learning Based Load Forecasting 

      Høllesli, Shiela Marie (Master thesis, 2022)
      Population is increasing rapidly and all the demands like electricity are also increasing. The government in England installed smart meters in order to analyze and follow better the energy consumption. Machine learning ...

    • 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 ...

    • Machine Learning for Tagging of Educational Content 

      Amundsen, Anne Helland (Master thesis, 2022)
      Online education has become a popular education form in recent years, with its use increasing massively during the COVID-19 pandemic. Neddy is a start-up company created at the start of the COVID-19 pandemic with the aim ...

    • Machine Learning methods to detect improper and irrelevant citations 

      Shenavari Shirazi, Anousheh (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      The focus of this study is on the relation between papers and their citations using Machine Learning algorithms to detect improper and irrelevant citations. The model takes the paper’s citations and classifies them into ...

    • Machine learning techniques for the detection of shockable rhythms in automated external defibrillators 

      Figuera, Carlos; Irusta, Unai; Morgado, Eduardo; Aramendi, Elisabete; Ayala, Unai; Wik, Lars; Kramer-Johansen, Jo; Eftestøl, Trygve; Alonso-Atienza, Felipe (Journal article; Peer reviewed, 2016-07)
      Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for ...

    • Machine learning to detect corporate greenwashing 

      Lien, Audun Stjernelund (Master thesis, 2023)
      This master thesis focuses on developing an automatic approach to detect corporate greenwashing. To achieve this, data must be collected, and green claims found from this data must be fact checked. The first step is to ...

    • Machine learning, unsupervised learning and stain normalization in digital nephropathology 

      Jon Tveit (Master thesis, 2023)
      Chronic kidney disease is a serious health challenge and still, the field of study lacks awareness and funding. Improving the efficiency of diagnosing chronic disease is important. Machine learning can be used for various ...

    • Machine Learning-Based Analysis of Test Results 

      Sun, Xiaoyan (Master thesis, 2023)
      A comprehensive understanding of the overall performance of the tests is critical in software testing to make necessary adjustments to the test schedule or conduct targeted investigations. In ABB Bryne, the software testing ...

    • Magnetic Resonance: Simulating Spin Magnetization 

      Holst-Larsen, Einar (Bachelor thesis, 2022)
      Magnetic resonance (MR) imaging modalities provide non-invasive and non-harmful in vivo imaging tools for clinical investigations. The standard clinical MR protocols used in brain examinations comprise several anatomical ...

    • Maintainable Inventory System 

      Melkevig, Siren; Pedersen, Elen Margrethe (Bachelor thesis, 2023)
      In this bachelor's thesis, we have created an inventory system in collaboration with Netpower. This inventory system is a platform that gives the employees of Netpower a detailed overview of information about customers and ...

    • Maintainable Inventory System 

      Pedersen, Elen Margrethe; Melkevig, Siren (Bachelor thesis, 2023)
      In this bachelor's thesis, we have created an inventory system in collaboration with Netpower. This inventory system is a platform that gives the employees of Netpower a detailed overview of information about customers and ...

    • Making sense of nonsense : Integrated gradient-based input reduction to improve recall for check-worthy claim detection 

      Sheikhi, Ghazaal; Opdahl, Andreas Lothe; Touileb, Samia; Setty, Vinay (CEUR Workshop Proceedings;, Chapter, 2023)
      Analysing long text documents of political discourse to identify check-worthy claims (claim detection) is known to be an important task in automated fact-checking systems, as it saves the precious time of fact-checkers, ...

    • Matematisk modellering og simulering av blodsukkeret til person med type 1 diabetes 

      Johnsen, Thorbjørn (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)
      Det finnes per i dag ingen gode modeller for regulering av blodsukker for personer med type 1 diabetes (TDM1). Blodsukkeret påvirkes av mange kjente og ukjente faktorer, noe som gjør det komplisert å modellere. Dersom en ...