Now showing items 9061-9080 of 20221

    • Hyperfetch: Addressing Reproducibility and Environmental Impact in Reinforcement Learning 

      Wahl, Karoline Sund (Bachelor thesis, 2023)
      De siste årene har feltet for Deep Reinforcement Learning (DRL) opplevd store fremskritt. Imidlertid utgjør reproduksjon av resultater i dette domenet betydelige utfordringer. Henderson et al. [1] setter lys på disse ...
    • Hypergame-based Adaptive Behavior Path Planning for Combined Exploration and Visual Search 

      Dharmadhikari, Mihir; Deshpande, Harshal; Dang, Tung; Alexis, Konstantinos (Chapter, 2021)
      In this work, we present an adaptive behavior path planning method for autonomous exploration and visual search of unknown environments. As volumetric exploration and visual coverage of unknown environments, with possibly ...
    • Hyperledger Fabric Platform for Healthcare Trust Relations - Proof of Concept 

      Nedaković, Aleksandar; Hasselgren, Anton Karl Oskar; Kralevska, Katina; Gligoroski, Danilo (Peer reviewed; Journal article, 2023)
      In recent years, blockchain technologies have expanded from the finance field to other areas that rely on trust-based solutions. The healthcare industry represents one such area, as digital transformation disrupts relationships ...
    • Hyperledger og lukkede blokkjeder for bedrifter 

      Færø, Ole (Bachelor thesis, 2019)
      Denne rapporten utforsker om lukkede blokkjeder basert på Hyperledgers rammeverk kan være nyttig for bedrifter. Det ble funnet at lukkede blokkjeder kan bidra til verdiskapning hovedsakelig ved å redusere kostnader, gjennom ...
    • Hyperlocal environmental data with a mobile platform in urban environments 

      Wang, An; Mora, Simone; Machida, Yuki; deSouza, Priyanka; Paul, Sanjana; Oyinlola, Oluwatobi; Duarte, Fábio; Ratti, Carlo (Peer reviewed; Journal article, 2023)
      Environmental data with a high spatio-temporal resolution is vital in informing actions toward tackling urban sustainability challenges. Yet, access to hyperlocal environmental data sources is limited due to the lack of ...
    • Hyperparameter Optimization for Neural Network-based Virtual Flow Metering 

      Eriksen, Knut Vågnes (Master thesis, 2022)
      Hyperparametere er parameterne som kontrollerer hvordan en maskinlæringsalgoritme lærer, og hyperparameteroptimalisering er prosessen med å optimalisere disse parameterne. Riktig valg av hyperparameter verdier er avgjørende ...
    • Hyperspectral Analysis of Plastic Particles in the Ocean 

      Bogfjellmo, Silja (Master thesis, 2016)
      Huge amounts of plastics end up in the ocean each year. Some of the plastics are eaten by fish and birds, and can cause death. It is important to find an easy, fast and reliable method to detect the plastics, as a first ...
    • Hyperspectral anomaly detection via memory-augmented autoencoders 

      Zhao, Zhe; Sun, Bangyong (Journal article; Peer reviewed, 2022)
    • Hyperspectral characterization of an in vitro wound model 

      Randeberg, Lise Lyngsnes; Hegstad, Janne-Lise A; Paluchowski, Lukasz A.; Milanic, Matija; Pukstad, Brita (Journal article; Peer reviewed, 2014)
      Wound healing is a complex process not fully understood. There is a need of better methods to evaluate the different stages of healing, and optical characterization is a promising tool in this respect. In this study ...
    • Hyperspectral characterization of re‐epithelialization in an in vitro wound model 

      Bjorgan, Asgeir; Pukstad, Brita Solveig; Randeberg, Lise Lyngsnes (Peer reviewed; Journal article, 2020)
      In vitro wound models are useful for research on wound re‐epithelialization. Hyperspectral imaging represents a non‐destructive alternative to histology analysis for detection of re‐epithelialization. This study aims to ...
    • Hyperspectral characterization of tissue in the SWIR spectral range: a road to new insight? 

      Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2019)
      Hyperspectral imaging is a generic imaging modality allowing high spectral and spatial resolution over a wide wavelength range from the visible to mid-infrared. Short wavelength infrared (SWIR) hyperspectral imaging is ...
    • Hyperspectral data analysis for chlorophyll estimation and operation of HYPSO-1 satellite 

      Gran-Jansen, Fredrik (Master thesis, 2022)
      HYPSO skjøt opp satellitten HYPSO-1 i bane 13. Januar 2022. Satellitten fanger havfarger med hyperspektral fjernmåling ved å separere lys i det synlige til nær-infrarøde spekteret i mange separate spektralbånd. Dermed øker ...
    • Hyperspectral Fluorescence and Reflectance Imaging of Bacteria and Oral Mucosa - a feasibility study 

      Vevang, Ine Mari (Master thesis, 2016)
      Dental health is an area with many challenges, in which non-invasive techniques for diagnostics is of great interest. Spatially resolved spectroscopy using hyperspectral imaging may provide such a technique. This thesis ...
    • Hyperspectral Imager Calibration and Image Correction 

      Henriksen, Marie Bøe (Master thesis, 2019)
      Hyperspektrale kameraer, ombord blant annet droner og småsatellitter, skal detektere algeoppblomstring og andre havfenomener langs norskekysten. Dette er en del av prosjektet HYPSO, som står for "hyperspektral småsatellitt ...
    • Hyperspectral Imaging Analyses of Cleaning Tests on Edvard Munch's Monumental Aula Paintings 

      Cutajar, Jan Dariusz; Babini, Agnese; Deborah, Hilda; Hardeberg, Jon Yngve; Joseph, Edith; Frøysaker, Tine (Peer reviewed; Journal article, 2022)
      The development of innovative applications of imaging technologies for monitoring change in cultural heritage objects is central to the CHANGE-ITN project. Within this framework, the authors’ ongoing work targets the ...
    • Hyperspectral imaging and machine learning for the prediction of SSC in kiwi fruits 

      Moen, Jon Elias; Nilsen, Vebjørn Johansen; Brox-Saidi, Katherine Asha; Kohmann, Eivind; Melit Devassy, Binu; George, Sony (Journal article; Peer reviewed, 2021)
    • Hyperspectral imaging for detection of arthritis: Feasibility and prospects 

      Milanic, Matija; Paluchowski, Lukasz A.; Randeberg, Lise Lyngsnes (Peer reviewed; Journal article, 2015)
      Rheumatoid arthritis (RA) is a disease that frequently leads to joint destruction. It has a high incidence rate worldwide, and the disease significantly reduces patients’ quality of life. Detecting and treating inflammatory ...
    • Hyperspectral imaging for detection of cholesterol in human skin 

      Milanic, Matija; Bjorgan, Asgeir; Larsson, Marcus; Marraccini, Paolo; Strömberg, Tomas; Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2015)
      Hypercholesterolemia is characterized by high levels of cholesterol in the blood and is associated with an increased risk of atherosclerosis and coronary heart disease. Early detection of hypercholesterolemia is necessary ...
    • Hyperspectral imaging of art: Acquisition and calibration workflows 

      Pillay, Ruven Lucio Saravana; Hardeberg, Jon Yngve; George, Sony (Peer reviewed; Journal article, 2019)
      Hyperspectral imaging has become an increasingly used tool in the analysis of works of art. However, the quality of the acquired data and the processing of that data to produce accurate and reproducible spectral image cubes ...
    • Hyperspectral imaging of atherosclerotic plaques in vitro 

      Larsen, Eivind La Puebla; Randeberg, Lise Lyngsnes; Olstad, Elisabeth; Haugen, Olav Anton; Aksnes, Astrid; Svaasand, Lars O. (Journal article; Peer reviewed, 2011)
      Vulnerable plaques constitute a risk for serious heart problems, and are difficult to identify using existing methods. Hyperspectral imaging combines spectral- and spatial information, providing new possibilities for precise ...