Now showing items 21-40 of 291

    • Dielectric nanoantennas and metasurfaces for optical trapping 

      Hasan, Md Rabiul (Doctoral thesis; Doktorgradsavhandling, 2023-09-14)
      Analysis of biological nanoparticles in medical sciences is very promising, as it can reveal groundbreaking information about disease mechanisms, potentially leading to innovative and more effective treatment strategies. The existing methods used for analyzing biological nanoparticles come with several limitations, involving extensive sample preparation, and giving limited information about the ...
    • Improving Representation Learning for Deep Clustering and Few-shot Learning 

      Trosten, Daniel Johansen (Doctoral thesis; Doktorgradsavhandling, 2023-08-23)
      <p>The amounts of data in the world have increased dramatically in recent years, and it is quickly becoming infeasible for humans to label all these data. It is therefore crucial that modern machine learning systems can operate with few or no labels. The introduction of deep learning and deep neural networks has led to impressive advancements in several areas of machine learning. These advancements ...
    • Dutkat: A Privacy-Preserving System for Automatic Catch Documentation and Illegal Activity Detection in the Fishing Industry 

      Nordmo, Tor-Arne Schmidt (Doctoral thesis; Doktorgradsavhandling, 2023-08-17)
      United Nations' Sustainable Development Goal 14 aims to conserve and sustainably use the oceans and their resources for the benefit of people and the planet. This includes protecting marine ecosystems, preventing pollution, and overfishing, and increasing scientific understanding of the oceans. Achieving this goal will help ensure the health and well-being of marine life and the millions of people ...
    • Exploring multipartite genomes using pangenome analysis 

      Sonnenberg, Cecilie Bækkedal (Doctoral thesis; Doktorgradsavhandling, 2023-06-21)
      <p>Bacteria are small single-celled organisms that are found in nearly every habitat on Earth. While bacterial genomes usually consist of one large circular replicon, about 10% of bacteria have organized their genes onto several large replicons. These multipartite bacteria are often found in symbiotic or pathogenic relationships with other higher organisms and are believed to have greater ability ...
    • Multimodal Integrated Remote Sensing for Arctic Sea Ice Monitoring 

      Khachatrian, Eduard (Doctoral thesis; Doktorgradsavhandling, 2023-06-15)
      Remote sensing data acquired from various sensors have been used for decades to monitor sea ice conditions over polar regions. Sea ice plays an essential role in the polar environment and climate. Furthermore, sea ice affects anthropogenic activities, including shipping and navigation, the oil and gas industry, fisheries, tourism, and the lifestyle of the indigenous population of the Arctic. With ...
    • Advancing Deep Learning for Marine Environment Monitoring 

      Choi, Changkyu (Doctoral thesis; Doktorgradsavhandling, 2023-06-09)
      Marine environment monitoring has become increasingly significant due to the excessive exploitation of oceans, which detrimentally impacts ecosystems. Deep learning provides an effective monitoring approach by automating the analysis of vast amounts of observed image data, enabling stakeholders to make informed decisions regarding fishing quotas or conservation efforts. The success of deep learning ...
    • Seismic characterization and source rock evaluation of Lower Cretaceous organic-rich units on the Norwegian Continental Shelf 

      Hagset, Andreas Hallberg (Doctoral thesis; Doktorgradsavhandling, 2023-04-20)
      Across the Norwegian Continental Shelf (NCS), the Upper Jurassic organic-rich shales are considered the main source rock unit charging most of the largest producing oil and gas fields. However, despite its extensive distribution across the NCS, this source rock unit is overmature and spent in the deep Cretaceous basins on the mid-Norwegian margin and the SW Barents Shelf. Documenting the presence ...
    • Cartan-Geometric Approaches to Submaximally Symmetric Ordinary Differential Equations 

      Kessy, Johnson Allen (Doctoral thesis; Doktorgradsavhandling, 2023-04-12)
      This thesis is concerned with a symmetry classification problem for ordinary differential equations (ODEs) that dates back to Sophus Lie. We focus on higher order ODEs, i.e. scalar ODEs of order greater than or equal to 4 or vector ODEs of order greater than or equal to 3, up to contact transformations. The maximal contact symmetry algebra dimensions for these ODEs are known. We determine for ...
    • Optical remote sensing of water quality parameters retrieval in the Barents Sea 

      Asim, Muhammad (Doctoral thesis; Doktorgradsavhandling, 2023-03-31)
      <p>This thesis addresses various aspects of monitoring water quality indicators (WQIs) using optical remote sensing technologies. The dynamic nature of aquatic systems necessitate frequent monitoring at high spatial resolution. Machine learning (ML)-based algorithms are becoming increasingly common for these applications. ML algorithms are required to be trained by a significant amount of training ...
    • Risk and Resilience Assessment of Wind Farms Performance in Cold Climate Regions 

      Mustafa, Albara (Doctoral thesis; Doktorgradsavhandling, 2023-03-13)
      Wind energy conversion systems such as wind farms are growing in numbers and capacity all over the globe. The onshore wind energy generation sector witnessed an increase of approximately 144 TWh during 2020, with onshore wind farms capacity addition of 108 GW, which is twice as much as the added capacity during 2019 (IEA, 2021). This staggering increase in capacity imposes higher needs for improved ...
    • An Integrated Data Analytics Framework for Enhancing the Environmental and Life-cycle Economic Performance in Shipping 

      Bui, Khanh Quang (Doctoral thesis; Doktorgradsavhandling, 2023-03-03)
      <p>Shipping has been recognized as the most efficient mode of transport, carrying over 80% of international trade volume. The shipping industry is at the beginning of one of its greatest energy and technology transition driven by decarbonization drivers in terms of stringent emission regulations and commercial pressure. Digitalization can enable the transition by leveraging Machine Learning (ML) and ...
    • New Building Blocks for Cancer Phototherapeutics: 5d Metallocorroles 

      Einrem, Rune Finsås (Doctoral thesis; Doktorgradsavhandling, 2023-02-24)
      Corroles are ring-contracted, triprotic analogues of porphyrins. This PhD study expands earlier knowledge in particular on ReO corroles. Early on, it became apparent that ReO corroles exhibit the highest phosphorescence quantum yields among all metallocorroles. They also sensitize singlet oxygen formation and serve as oxygen sensors and as triplet-triplet annihilation upconverters. I accordingly ...
    • AHL-mediated quorum sensing regulation: Role in controlling cytotoxicity, T6SSs and CRISPR-Cas systems in Aliivibrio wodanis 

      Maharajan, Amudha Deepalakshmi (Doctoral thesis; Doktorgradsavhandling, 2023-01-27)
      <p><i>Aliivibrio wodanis</i> has been associated with winter ulcer disease outbreaks. It has been reported that <i>A. wodanis</i> may act as a secondary pathogen in disease outbreaks and pathogenesis. The culture supernatant of <i>A. wodanis</i> causes a cytopathogenic effect (CPE) in various salmon cell lines. Moreover, in an Atlantic salmon bath challenge experiment, <i>A. wodanis</i> alone produces ...
    • A computational study of cyclic peptides with vibrational circular dichroism 

      Eikås, Karolina Di Remigio (Doctoral thesis; Doktorgradsavhandling, 2022-12-16)
      <p>Cyclic peptides are a class of molecules that has shown antimicrobial potential. These are complex compounds to investigate with their large conformational space and multiple chiral centers. A technique that can be used to investigate both conformational preferences and absolute configuration (AC) is vibrational circular dichroism (VCD). To extract information from the experimental VCD spectra a ...
    • Leveraging Supervoxels for Medical Image Volume Segmentation With Limited Supervision 

      Hansen, Stine (Doctoral thesis; Doktorgradsavhandling, 2022-12-16)
      The majority of existing methods for machine learning-based medical image segmentation are supervised models that require large amounts of fully annotated images. These types of datasets are typically not available in the medical domain and are difficult and expensive to generate. A wide-spread use of machine learning based models for medical image segmentation therefore requires the development of ...
    • Scalable computing for earth observation - Application on Sea Ice analysis 

      Khaleghian, Salman (Doctoral thesis; Doktorgradsavhandling, 2022-12-15)
      <p>In recent years, Deep learning (DL) networks have shown considerable improvements and have become a preferred methodology in many different applications. These networks have outperformed other classical techniques, particularly in large data settings. In earth observation from the satellite field, for example, DL algorithms have demonstrated the ability to learn complicated nonlinear relationships ...
    • Biogeochemistry of dissolved organic matter in Arctic Ocean waters charged with methane 

      Sert, Muhammed Fatih (Doctoral thesis; Doktorgradsavhandling, 2022-11-25)
      Dissolved organic matter (DOM) is defined as organic matter that is smaller than a nominal pore size filter (e.g., 0.7 µm) that passes through during the filtration of aquatic samples. It comprises the largest reservoir of reduced carbon (700 Pg C) in the oceans. The DOM pool is in close interaction with all the elemental cycles and food chains in the ocean and is an essential component in the marine ...
    • Combinatorics of Reflection Groups and Real Algebraic Geometry 

      Debus, Sebastian (Doctoral thesis; Doktorgradsavhandling, 2022-11-18)
      Real algebraic geometry studies sets defined by a finite system of real polynomial equalities and inequalities. A central topic in this area is the study of the cone of nonnegative polynomials. Verifying that a given polynomial is nonnegative is an NP-hard problem. However, it turns out to be algorithmically much more feasible to verify if a given polynomial admits a representation into a sum of ...
    • Advancing Deep Learning with Emphasis on Data-Driven Healthcare 

      Wickstrøm, Kristoffer Knutsen (Doctoral thesis; Doktorgradsavhandling, 2022-10-28)
      Retten til helse er en grunnleggende menneskerettighet, men mange utfordringer står overfor de som ønsker å etterleve denne retten. Mangel på utdannet helsepersonell, økte kostnader og en aldrende befolkning er bare noen få eksempler på nåværende hindringer i helsesektoren. Å takle slike problemer er avgjørende for å gi pålitelig helsehjelp med høy kvalitet til mennesker over hele verden. Mange ...
    • Data-driven Arctic wind energy analysis by statistical and machine learning approaches 

      Chen, Hao (Doctoral thesis; Doktorgradsavhandling, 2022-10-14)
      Norway's Arctic region is rich in wind resources and developing wind energy in the region can promote a green transition and economic development. However, the region's unique topography with fjords and mountains and cold climate conditions make wind resource assessment, generation analysis, and power forecasting particularly challenging. The accumulation of wind data and the emergence of data ...