• Hydrogen Production from Wind and Solar Power in Weak Grids in Norway 

      Pinel, Dimitri Quentin Alexis (Master thesis, 2017)
      In this thesis, the possibility of implementing an hydrogen factory in the north of Norway was studied through the simulation of the system and an optimization of the needed investment with the exclusion of the grid and ...
    • Hydrogen Sulfide Detection through Salmon Juvenile Monitoring with Stereo Vision and Machine Learning 

      Eide, Lotte (Master thesis, 2023)
      Bakgrunn: Utvidelsen av landbaserte produksjonsfaser i lakseoppdrett er en voksende trend innen akvakulturindustrien. Reduksjon av tid tilbrakt på sjøen kan gi mange fordeler, men utviklingen av landbaserte fasiliteter ...
    • Hydrogen-enhanced fatigue crack growth behaviors in a ferritic Fe-3wt%Si steel studied by fractography and dislocation structure analysis 

      Wan, Di; Alvaro, Antonio; Olden, Vigdis; Barnoush, Afrooz (Journal article; Peer reviewed, 2019)
      The effect of hydrogen (H) on the fatigue behavior is of significant importance for metallic structures. In this study, the hydrogen-enhanced fatigue crack growth rate (FCGR) tests on in-situ electrochemically H-charged ...
    • Hydropower optimization using model-based Reinforcement Learning 

      Ågotnes, Henrik (Master thesis, 2023)
      En av de mest effektive måtene å lagre energi på er ved å planlegge produksjonen av vannkraft slik at kraft produseres når det er mest gunstig og at vannet i andre perioder reserveres. I det nordiske kraftmarkedet prøver ...
    • Hydropower Scheduling with State-Dependent Discharge Constraints: An SDDP Approach 

      Helseth, Arild; Mo, Birger; Hågenvik, Hans Olaf; Schäffer, Linn Emelie (Peer reviewed; Journal article, 2022)
      Environmental constraints in hydropower systems serve to ensure sustainable use of water resources. Through accurate treatment in hydropower scheduling, one seeks to respect such constraints in the planning phase while ...
    • HydroStator : hovedfunn og resultater i KPN-prosjektet HydroStator 

      Berg, Gunnar; Eberg, Espen; Aakre, Torstein Grav; Ildstad, Erling; Kantar, Emre; Nysveen, Arne (SINTEF Rapport;, Research report, 2022)
      Modeller som beskriver temperatur- og frekvensavhengighet til elektriske delutladninger er utviklet og viser at tilstandskontroll med den mer praktiske VLF-metoden som benytter 0,1 Hz høyspenning er representativ for 50 ...
    • Hydrothermal scheduling in the continuous-time framework 

      Naversen, Christian Øyn; Helseth, Arild; Li, Bosong; Parvania, Masood; Farahmand, Hossein; Catalao, João P.S. (Peer reviewed; Journal article, 2020)
      Continuous-time optimization models have successfully been used to capture the impact of ramping limitations in power systems. In this paper, the continuous-time framework is adapted to model flexible hydropower resources ...
    • Hyperbolic geometry for colour metrics 

      Farup, Ivar (Journal article; Peer reviewed, 2014)
      It is well established from both colour difference and colour order perpectives that the colour space cannot be Euclidean. In spite of this, most colour spaces still in use today are Euclidean, and the best Euclidean colour ...
    • Hyperbolic geometry for colour metrics 

      Farup, Ivar (Journal article; Peer reviewed, 2014)
      It is well established from both colour difference and colour order perpectives that the colour space cannot be Euclidean. In spite of this, most colour spaces still in use today are Euclidean, and the best Euclidean colour ...
    • Hyperbolsk geometri i et historisk perspektiv 

      Smestad, Bjørn-Terje Gylder (Master thesis, 2009)
      Hilbert (1862 - 1943) fulgte Euklid (rundt år 300 før vanlig tidsregning) i sin oppbygging av den nøytrale, euklidske og hyperbolske geometrien. Hilberts aksiomer representerer i så måte en historisk viktig del av geometri. ...
    • 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 ...