Recent additions

  • Leveraging Computer Vision for Applications in Biomedicine and Geoscience 

    Johansen, Thomas Haugland (Doctoral thesis; Doktorgradsavhandling, 2021-06-25)
    Skin cancer is one of the most common types of cancer and is usually classified as either non-melanoma and melanoma skin cancer. Melanoma skin cancer accounts for about half of all skin cancer-related deaths. The 5-year survival rate is 99% when the cancer is detected early but drops to 25% once it becomes metastatic. In other words, the key to preventing death is early detection. Foraminifera ...
  • Optical Waveguides for Infrared Spectroscopic Detection of Molecular Gases 

    Vlk, Marek (Doctoral thesis; Doktorgradsavhandling, 2021-06-18)
    Fields like medical diagnostics, urban and industrial environmental monitoring or basic microbiological research greatly benefit from advances in chemical and biological sensing. These applications require rapid sample analysis, reduced needs for sample handling, or good sensor network. Such demands can be met with miniaturised sensors utilising methods which secure sufficient sensitivity and ...
  • Collapse of a marine-based ice sheet 

    Esteves, Mariana da Silveira Ramos (Doctoral thesis; Doktorgradsavhandling, 2018-08-16)
    The Barents Sea Ice Sheet (BSIS) is a good palaeo-analogue to the West Antarctic Ice Sheet (WAIS), and understanding the key processes occurring during the deglaciation of the BSIS can yield important insights into the drivers and response of marine-based ice sheets to climatic changes. This is important since marine-based ice sheets, such as the BSIS and WAIS, are particularly vulnerable to oceanic ...
  • Numerical simulations and stochastic modeling of intermittent fluctuations in magnetized plasmas 

    Decristoforo, Gregor (Doctoral thesis; Doktorgradsavhandling, 2021-05-21)
    The exhaust of particles and heat in the boundary of contemporary magnetic confinement experiments remains to this day a major obstacle on the road to commercially viable fusion energy production. It is recognized, that coherent structures of hot and dense plasma, called blobs or filaments, are the dominant mechanism for cross-field particle transport. These filaments are created by plasma turbulence ...
  • EDMON - Electronic Disease Surveillance and Monitoring Network: A Personalized Health Model-based Digital Infectious Disease Detection Mechanism using Self-Recorded Data from People with Type 1 Diabetes 

    Woldaregay, Ashenafi Zebene (Doctoral thesis; Doktorgradsavhandling, 2021-05-28)
    Through time, we as a society have been tested with infectious disease outbreaks of different magnitude, which often pose major public health challenges. To mitigate the challenges, research endeavors have been focused on early detection mechanisms through identifying potential data sources, mode of data collection and transmission, case and outbreak detection methods. Driven by the ubiquitous nature ...
  • Radar System Development for Drone Borne Applications with Focus on Snowpack Parameters 

    Jenssen, Rolf-Ole Rydeng (Doctoral thesis; Doktorgradsavhandling, 2021-05-11)
    A complete representation of the Arctic cryosphere has historically been restricted by its remoteness, large extent, and restrictions in measurement methods and equipment. Here, remote sensing of snow-cover is a central method to improve the current knowledge of the Earth's ecosystem, and hence a critical component in cryospheric models. The use of drone-borne radar systems has seen considerable ...
  • Machine Learning for Enhanced Maritime Situation Awareness: Leveraging Historical AIS Data for Ship Trajectory Prediction 

    Murray, Brian (Doctoral thesis; Doktorgradsavhandling, 2021-05-03)
    In this thesis, methods to support high level situation awareness in ship navigators through appropriate automation are investigated. Situation awareness relates to the perception of the environment (level 1), comprehension of the situation (level 2), and projection of future dynamics (level 3). Ship navigators likely conduct mental simulations of future ship traffic (level 3 projections), that ...
  • Glucose Regulation for In-Silico Type 1 Diabetes Patients Using Reinforcement Learning 

    Tejedor Hernández, Miguel Ángel (Doctoral thesis; Doktorgradsavhandling, 2021-05-07)
    Type 1 diabetes is a metabolic disorder characterized by high blood glucose levels as a consequence of deficiency of the hormone insulin, requiring the patient to follow a strict personalized protocol of food intake, subcutaneous insulin administration as a lifelong treatment for the high blood glucose levels, and exercise. This condition leads to acute complications, damaging several organs and ...
  • Waveguide-based Excitation for High-throughput Imaging 

    Coucheron, David Andre (Doctoral thesis; Doktorgradsavhandling, 2021-03-24)
    Chip–based fluorescence imaging is an emerging field where the fluorophores in a sample are excited by the evanescent field generated by waveguides. The aim of this thesis is to explore how waveguide–based excitation can benefit super–resolution optical microscopy, as well as investigate other imaging and spectroscopic applications which can benefit from the same platform. For all imaging and ...
  • Late Pleistocene-Holocene history of Svalbard ice caps and glaciers – integrating marine, terrestrial and lacustrine archives 

    Allaart, Lis (Doctoral thesis; Doktorgradsavhandling, 2021-03-25)
    The Arctic regions are affected by the modern climate change to a greater extent than the global average. This effect is called the Arctic amplification and is reflected in air temperatures rising with double rate and increased precipitation compared to the global average. The climate of Svalbard is strongly related to variations in the atmospheric and oceanic circulation patterns, and the archipelago ...
  • On Automated Classification of Sea Ice Types in SAR Imagery 

    Lohse, Johannes (Doctoral thesis; Doktorgradsavhandling, 2021-03-12)
    With the Arctic sea ice continuously decreasing in both extent and thickness, fast and robust production of reliable ice charts becomes more important to ensure the safety of Arctic operations. This thesis focuses on the development of automated algorithms for the mapping of sea ice from synthetic aperture radar (SAR) images. It presents a thorough background on the topics of sea ice observations ...
  • Determination of the Dielectric Properties of Marine Surface Slicks Using Synthetic Aperture Radar 

    Quigley, Cornelius Patrick (Doctoral thesis; Doktorgradsavhandling, 2021-03-03)
    Over the course of the last three decades, Synthetic Aperture Radar (SAR) has proven itself to be an effective monitoring technology for marine applications. The clear benefits of using SAR as opposed to optical devices is that SAR is insensitive to cloud cover, lighting conditions and can also provide imagery to a high degree of resolution. Given these benefits, there is a large incentive to implement ...
  • Vibrational spectroscopy beyond the harmonic approximation with the Polarizable Embedding model 

    Dundas, Karen Oda Hjorth Minde (Doctoral thesis; Doktorgradsavhandling, 2021-02-23)
    In order to efficiently and accurately calculate vibrational properties for solvated systems, a theoretical framework for combining response theory with the Polarizable Embedding model (PE) has been derived and implemented, and is presented in this thesis. An open-ended recursive formalism is utilized through the implementation in OpenRSP, allowing energy-derivatives to be calculated analytically ...
  • Deep Generative Models in Credit Scoring 

    Andrade Mancisidor, Rogelio (Doctoral thesis; Doktorgradsavhandling, 2021-02-05)
    Banks need to develop effective credit scoring models to better understand the relationship between customer information and the customer's ability to repay the loan. The output of such a model is called the default probability and is used to rank loan applications in terms of their creditworthiness. The focus of this thesis is to develop novel credit scoring methodologies that solve well-known ...
  • Bringing optical nanoscopy to life - Super-resolution microscopy of living cells 

    Opstad, Ida Sundvor (Doctoral thesis; Doktorgradsavhandling, 2021-01-29)
    Microscopy is possibly the best tool we have to peer into the microscopic world to enhance our understanding of the usually invisible, but highly complex and vital events every moment taking place inside living cells. Microscopy is brilliant, but also has its physical constraints and technical limitations. Technical advances have in the last decade pushed optical microscopy past physical limits ...
  • Leveraging Kernels for Unsupervised Learning 

    Løkse, Sigurd (Doctoral thesis; Doktorgradsavhandling, 2020-12-11)
    <p>Kernel methods have been a central part of the machine learning arsenal for several decades. Within this framework, unsupervised learning has been a particularly challenging area. This is due to the inherent nature of unsupervised learning tasks, where important information about the structure of the data is unknown to the user, and as such it is difficult to design a kernel or system to solve ...
  • Performance Measurement System in complex environment: observed and unobserved risk factors 

    Zaki, Rezgar (Doctoral thesis; Doktorgradsavhandling, 2020-12-04)
    <p>World demand for energy leads industry to harvest energy in complex environment with harsh conditions and sensitive areas, such as the Arctic region – one of the last remaining wild places in the world – with potentially harmful consequences. Moreover, over the past few decades, the increasing trend of melting sea ice in the Arctic has provided increased access and has created new opportunities ...
  • Diggi: A Distributed Serverless Runtime for Developing Trusted Cloud Services 

    Gjerdrum, Anders Tungeland (Doctoral thesis; Doktorgradsavhandling, 2020-10-30)
    Cloud computing offers the convenience of outsourcing storage and processing power to a public shared environment. Physical infrastructure is managed by the cloud provider, allowing hosted services to be deployed without any upfront investment. Cloud infrastructure may additionally manage deployment, migration, scalability, and fault tolerance, transparently from the hosted service. Serverless ...
  • Method development towards synthesis of carbapenemase inhibitors 

    Ismael, Aya (Doctoral thesis; Doktorgradsavhandling, 2020-10-26)
    Carbapenemases are enzymes able to hydrolyze the last resort b-lactam antibiotics (carbapenems), which are used for the treatment of infections caused by resistant bacteria. Carbapenemases are structurally and mechanistically classified into serine-b-lactamases (SBLs) and metallo-b-lactamases (MBLs). In order to combat the hydrolytic activity of these enzymes, combination therapy of b-lactam with ...

View more