Now showing items 74-93 of 4765

    • Advances in understanding subglacial meltwater drainage from past ice sheets 

      Simkins, Lauren M; Greenwood, Sarah L.; Winsborrow, Monica; Bjarnadóttir, Lilja Rún; Lepp, Allison (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-17)
      Meltwater drainage beneath ice sheets is a fundamental consideration for understanding ice–bed conditions and bed-modulated ice flow, with potential impacts on terminus behavior and iceshelf mass balance. While contemporary observations reveal the presence of basal water movement in the subglacial environment and inferred styles of drainage, the geological record of former ice sheets, including ...
    • Advancing Deep Learning for Automatic Autonomous Vision-based Power Line Inspection 

      Nguyen, Van Nhan (Doctoral thesis; Doktorgradsavhandling, 2019-12-03)
      Electricity is fundamental to the ability to function of almost all modern-day societies. To maintain the reliability, availability, and sustainability of electricity supply, electric utilities are usually required to perform visual inspections on their electrical grids regularly. These inspections have been typically carried out using a combination of airborne surveys via low-flying helicopters and ...
    • 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 ...
    • 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 ...
    • Advancing Land Cover Mapping in Remote Sensing with Deep Learning 

      Liu, Qinghui (Doctoral thesis; Doktorgradsavhandling, 2021-12-08)
      Automatic mapping of land cover in remote sensing data plays an increasingly significant role in several earth observation (EO) applications, such as sustainable development, autonomous agriculture, and urban planning. Due to the complexity of the real ground surface and environment, accurate classification of land cover types is facing many challenges. This thesis provides novel deep learning-based ...
    • Advancing relativistic electronic structure methods for solids and in the time domain 

      Kadek, Marius (Doctoral thesis; Doktorgradsavhandling, 2018-08-28)
      Effects arising from the special theory of relativity significantly influence the electronic structure and properties of molecules and solid-state materials containing heavy elements. At the same time, the inclusion of the relativistic effects in theoretical and computational models increases their methodological complexity and the computational cost. In the solid state, additional challenges ...
    • Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning 

      Kampffmeyer, Michael Christian (Doctoral thesis; Doktorgradsavhandling, 2018-10-19)
      Due to the large improvements that deep learning based models have brought to a variety of tasks, they have in recent years received large amounts of attention. However, these improvements are to a large extent achieved in supervised settings, where labels are available, and initially focused on traditional computer vision tasks such as visual object recognition. Specific application domains that ...
    • Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare 

      Mikalsen, Karl Øyvind (Doctoral thesis; Doktorgradsavhandling, 2019-02-15)
      In healthcare, vast amounts of data are stored digitally in the electronic health records (EHRs). EHRs represent a largely untapped source of clinically relevant information, which combined with advances in machine learning, have the potential to transform healthcare into a more data-driven direction. However, due to the complexity and poor quality of the EHRs, data-driven healthcare is facing many ...
    • Adventure-based cruise tourism and emergency response -training for increased polar-water emergency management competence 

      Sætren, Gunhild Birgitte; Stenhammer, Hege Christin; Andreassen, Natalia; Borch, Odd Jarl (Conference object; Konferansebidrag, 2021-11)
      Nature-based tourism has increased significantly in recent years. The special segment adventure travel has doubled in size, from 10 to 20 percent of the international tourism market. This type of tourism is characterized by visiting remote and spectacular areas, and uniqueness. One of the most popular type of adventure based travel is so-called expedition cruise. The number of cruise vessels is ...
    • Affinity-Guided Image-to-Image Translation for Unsupervised Heterogeneous Change Detection 

      Hansen, Mads Adrian (Master thesis; Mastergradsoppgave, 2019-12-16)
      Change detection in earth observation remote sensing images can be used to describe the extent of natural disasters, e.g., forest fires and floods. When time is of the essence, the ability to utilize heterogeneous images is fundamental, i.e., images that are not directly comparable due to the sensors used or the capturing conditions. The recent advances in machine learning have dispersed into the ...
    • AGA: A Game-Inspired Mobile Application for Promoting Physical Activity in People With Intellectual Disabilities 

      Wiik, Marius Foshaug (Master thesis; Mastergradsoppgave, 2019-05-31)
      Obesity and other health problems have a high prevalence in people with intellectual disabilities. Many lead a sedentary lifestyle and often have low scores on fitness indicators such as muscle strength and cardiovascular fitness. The purpose of this research is to identify design techniques and features of a mobile application that can help promote physical activity in people with intellectual ...
    • Against the Trend-An tentative Data Analysis Method using Classical Regression against Machine Learning Approach 

      Yuan, Fuqing; Lu, Jinmei (Journal article; Tidsskriftartikkel, 2019)
      The machine learning approach is a new hot topic in recent years that are widely used in different sections, including industries, economy, disaster prediction and politics. After decades’ of development, the available machine learning algorithms are numerous and diverse. Traditional methods such as regression, classical statistical methods, are unfortunately laid aside as non-mainstream. This paper ...
    • Agreement and Complementarity of Sea Ice Drift Products 

      Johansson, Malin; Berg, Anders (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-01-08)
      Changes in Arctic sea ice have raised questions about changes in sea ice drift patterns. Reduced sea ice coverage may open up the Arctic to further exploration of maritime activities, particularly during the summer months. Given such changes, it is important to investigate differences between available sea ice drift products. Products based on synthetic aperture radar (SAR), radar scatterometer, and ...
    • The Agreement on Cooperation on Marine Oil Pollution Preparedness and Response in the Arctic 

      Rise, Ingvild Hoel (Master thesis; Mastergradsoppgave, 2014-06-01)
      This is a case study of the establishment of an oil spill response regime in the Arctic region. The context is the work of the Arctic Council and the development of the Agreement on Cooperation on Marine Oil Pollution Preparedness and Response in the Arctic. Three research topics are studied; regime, response system and the role of politics and professions. The Arctic oil spill response agreement ...
    • 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 ...
    • Aika: A Distributed Edge System For Machine Learning Inference. Detecting and defending against abnormal behavior in untrusted edge environments 

      Alslie, Joakim Aalstad (Master thesis; Mastergradsoppgave, 2021-12-14)
      The edge computing paradigm has recently started to gain a lot of momentum. The field of Artificial Intelligence (AI) has also grown in recent years, and there is currently ongoing research that investigates how AI can be applied to numerous of different fields. This includes the edge computing domain. In Norway, there is currently ongoing research being conducted that investigates how the confluence ...
    • Air temperature at 90 km altitude in the Artic obtained using meteor radar : validation, characterization and climate change. 

      Kluken, Lars Grytbakk (Master thesis; Mastergradsoppgave, 2011-09-30)
      Temperatures at 90 km altitude above Ramfjordmoen (69°N, 19°E) have been obtained with the Nippon/Norwegian Tromsø Meteor Radar. The temperatures have been derived from meteor radar decay rates using two techniques: the pressure based and the temperature gradient based methods. The results have been compared to the Microwave Limb Sounder (MLS) instrument on board the Aura spacecraft. It was found ...
    • Airborne Investigation of Quasi-Specular Ku-Band Radar Scattering for Satellite Altimetry Over Snow-Covered Arctic Sea Ice 

      de Rijke Thomas, Claude; Landy, Jack Christopher; Mallett, Robbie; Willatt, Rosemary; Tsamados, Michel; King, Joshua (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-22)
      Surface-based Ku-band radar altimetry investigations indicate that the radar signal is typically backscattered from well above the snow–sea ice interface. However, this would induce a bias in satellite altimeter sea ice thickness retrievals not reflected by buoy validation. Our study presents a mechanism to potentially explain this paradox: probabilistic quasi-specular radar scattering from the ...
    • The airglow layer emission altitude cannot be determined unambiguously from temperature comparison with lidars 

      Dunker, Tim (Journal article; Peer reviewed; Tidsskriftartikkel, 2018)
      I investigate the nightly mean emission height and width of the OH*(3–1) layer by comparing nightly mean temperatures measured by the ground-based spectrometer GRIPS 9 and the Na lidar at ALOMAR. The data set contains 42 coincident measurements taken between November 2010 and February 2014, when GRIPS 9 was in operation at the ALOMAR observatory (69.3° N, 16.0° E) in northern Norway. To closely ...
    • Airmanship - A qualitative approach 

      Nergård, Vegard (Journal article; Tidsskriftartikkel; Peer reviewed, 2014-10)
      The purpose of this study was to investigate how pilots themselves characterize a good pilot and airmanship, and how safety is created by the practice of knowledge. The purpose of this study was to get the insiders’ understanding of the concept of airmanship. Results indicate that the formulation of the concept of airmanship is complex, and it is first and foremost comprised of the knowledge about ...