Blar i AURA på forfatter "Knausgård, Kristian Muri"

Viser treff 1-8 av 8

    • Accurate Wound and Lice Detection in Atlantic Salmon Fish Using a Convolutional Neural Network 

      Gupta, Aditya; Bringsdal, Even; Knausgård, Kristian Muri; Goodwin, Morten (Peer reviewed; Journal article, 2022)
      The population living in the coastal region relies heavily on fish as a food source due to their vast availability and low cost. This need has given rise to fish farming. Fish farmers and the fishing industry face serious ...

    • Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation 

      Olsvik, Erlend; Trinh, Christian M. D.; Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (Journal article; Peer reviewed, 2019)

    • Branch-Manoeuvring Capable Pipe Cleaning Robot for Aquaponic Systems 

      Knausgård, Kristian Muri; Gangenes Skar, Siv-Lene; Sanfilippo, Filippo; Buldenko, Albert; Lindheim, Henning; Lunde, Jakob; Sukarevicius, Eligijus; Robbersmyr, Kjell Gunnar (Communications in Computer and Information Science;1616, Chapter; Peer reviewed, 2022)
      Aquaponic systems are engineered ecosystems combining aquaculture and plant production. Nutrient rich water is continuously circulating through the system from aquaculture tanks. A biofilter with nitrifying bacteria breaks ...

    • A contrastive learning approach for individual re-identification in a wild fish population 

      Olsen, Ørjan Langøy; Sørdalen, Tonje Knutsen; Goodwin, Morten; Malde, Ketil; Knausgård, Kristian Muri; Halvorsen, Kim Aleksander Tallaksen (Peer reviewed; Journal article, 2023)
      In both terrestrial and marine ecology, physical tagging is a frequently used method to study population dynamics and behavior. However, such tagging techniques are increasingly being replaced by individual re-identification ...

    • Development of a Simulator for Prototyping Reinforcement Learning based Autonomous Cars 

      Holen, Martin; Knausgård, Kristian Muri; Goodwin, Morten (Peer reviewed; Journal article, 2022)
      Autonomous driving is a research field that has received attention in recent years, with increasing applications of reinforcement learning (RL) algorithms. It is impractical to train an autonomous vehicle thoroughly in the ...

    • Temperate fish detection and classification: a deep learning based approach 

      Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Halvorsen, Kim Aleksander Tallaksen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (Peer reviewed; Journal article, 2021)
      A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize ...

    • Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles 

      Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E.; Knausgård, Kristian Muri (Communications in Computer and Information Science;1600, Chapter; Peer reviewed, 2022)
      Providing full autonomy to Unmanned Surface Vehicles (USV) is a challenging goal to achieve. Autonomous docking is a subtask that is particularly difficult. The vessel has to distinguish between obstacles and the dock, and ...

    • Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook 

      Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (Peer reviewed; Journal article, 2022)
      The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ...