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Using Deep Learning Methods for Segmenting Polar Mesospheric Summer Echoes
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-31)Polar mesospheric summer echoes (PMSE) are radar echoes that are observed in the mesosphere during the arctic summer months in the polar regions. By studying PMSE, researchers can gain insights into physical and chemical processes that occur in the upper atmosphere—specifically, in the 80 to 90 km altitude range. In this paper, we employ fully convolutional networks such as UNET and UNET++ for ... -
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-06-03)The aquaculture industry is expanding to meet the daily requirements of humanity from high-quality seafood. In this regard, intensive aquaculture systems are suggested, resulting in high production but being challenged with immunosuppression and disease invaders. Antibiotics were used for a long time to protect and treat aquatic animals; however, continuous use led to severe food safety issues, ... -
Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks
(Conference object; Konferansebidrag, 2020)Data without annotation are easy to obtain in the real-world, however, established supervised learning methods are not applicable to analyze them. Several learning approaches have been proposed in recent years to exploit the underlying structure of the data without requiring annotations. Semi-supervised learning aims to improve the predictive performance of these unsupervised approaches, by exploiting ... -
Single image dehazing for a variety of haze scenarios using back projected pyramid network
(Conference object; Konferansebidrag, 2020)Learning to dehaze single hazy images, especially using a small training dataset is quite challenging. We propose a novel generative adversarial network architecture for this problem, namely back projected pyramid network (BPPNet), that gives good performance for a variety of challenging haze conditions, including dense haze and inhomogeneous haze. Our architecture incorporates learning of multiple ... -
GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism for Fuzzy Neural Networks
(Conference object; Konferansebidrag, 2020)In fields such as finance, medicine, engineering, and science, making real-time predictions during transient periods characterized by sudden and large changes is a hard challenge for machine learning. Humans keep memory of these transient events, abstractly learn the most relevant rules and reuse them when similar events occur, which stems from episodic memory that allows storage and recall of similar ... -
Hypotermi og hjertesvikt
(Conference object; Konferansebidrag, 2020) -
«CAMCrossEurope» regulation. Impact on patient safety – with focus on India-Nor collaboration
(Conference object; Konferansebidrag, 2015) -
Alternativ behandling- Uoversiktlig og uregulert. Pasientens frihet til å velge eller brudd på sikkert behandlingsvalg?
(Conference object; Konferansebidrag, 2016) -
The broken link - Combining conventional and complementary medicine in a safe health care delivery chain.
(Conference object; Konferansebidrag, 2017) -
Gaps in risk perceptions are barriers to doctor-patient communication about CAM
(Conference object; Konferansebidrag, 2017)Studies have revealed differing perceptions of risk associated with use of conventional and alternative treatments among medical doctors and CAM users. This pilot study explored such differing risk perceptions and their possible influence on doctor CAM user communication. -
The development of Standard Indicators and Meta Data to Monitor Traditional Medicine System Performance
(Conference object; Konferansebidrag, 2017) -
Investigating Effects of pH on Microbial Growth in Continuous Stirred Tank Bioreactors
(Conference object; Konferansebidrag, 2017) -
Marine-derived products as functional feed additives in aquaculture: A review
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-27)The aquaculture industry is expanding to meet the daily requirements of humanity from high-quality seafood. In this regard, intensive aquaculture systems are suggested, resulting in high production but being challenged with immunosuppression and disease invaders. Antibiotics were used for a long time to protect and treat aquatic animals; however, continuous use led to severe food safety issues, ... -
Russian dialectology in educating Slavists in Norway: experience and results
(Conference object; Konferansebidrag, 2020)The fact that a legendary Norwegian explorer Fridtjоf Nansen, who was a talented and highly educated man, knew very well the history and culture of the peoples of Northern Russia, is mentioned in almost every work dedicated to his planned expedition to the Kola Peninsula, which was never performed. However, there are no research works that mention the fact that his deep knowledge, which inspired him ... -
The Russian Constructicon: A new linguistic resource, its design and key characteristics (Русский Конструктикон: Новый лингвистический ресурс, его устройство и специфика)
(Conference object; Konferansebidrag, 2020)We present a new open-access electronic resource named the Russian Constructicon that offers a searchable database of Russian constructions accompanied by descriptions of their properties and illustrated with corpus examples. The project was carried out over the period 2016-2020 and at present contains an inventory of over 2200 multi-word constructions of Contemporary Standard Russian. We prioritize ... -
How can use of virtual reality technology help improve an intervention for children with emotional problems?
(Conference object; Konferansebidrag, 2019)<p>Exposure training and behavioral experiments are common and well-supported mechanisms in cognitive behavioral therapy (CBT) for anxiety and depression in children. Virtual reality (VR) technology applies computer-generated, three-dimensional virtual environments, which have the potential to create realistic situations that can be repeated and rehearsed several times. Virtual environments, therefore, ... -
Real Root Finding for Equivariant Semi-algebraic Systems
(Conference object; Konferansebidrag, 2018)Let <i><b>R</b></i> be a real closed field. We consider basic semi-algebraic sets defined by <i>n</i>-variate equations/inequalities of s symmetric polynomials and an equivariant family of polynomials, all of them of degree bounded by 2<i>d</i> < <i>n</i>. Such a semi-algebraic set is invariant by the action of the symmetric group. We show that such a set is either empty or it contains a point ... -
Days at home in the last three months of life: patterns-of-care analysis in patients with non-small cell lung cancer
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-27)Introduction: To calculate the number of days patients with terminal nonsmall cell lung cancer (NSCLC) spent at home in the last 3 months of life, and to identify factors that predict a lower proportion of days at home.<p> <p>Material and methods: Retrospective study of 434 deceased patients with NSCLC. The number of days spent in a hospital or nursing home was identified from electronic ... -
Adherence to lifestyle recommendations among Norwegian cancer survivors and the impact of traditional and complementary medicine use: the Tromsø Study 2015–2016
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-19)Introduction Adherence to healthy lifestyle recommendations has positive effects on cancer outcomes yet adherence is low among cancer survivors. Differences in adherence between women and men, phase of survivorship, and other factors that might increase adherence, like the use of traditional and complementary medicine (T&CM), need to be explored. We aimed to study the adherence to national recommendations ... -
Gender Balance in the Arts - A Matter of (E)Quality?
(Conference object; Konferansebidrag, 2018)The Tromsø-based project Gender Balance in Art Education aims to contribute to the discussion on gender balance in higher education in the arts. On the basis of two empirical studies the project develops new knowledge about major structural and cultural challenges with gender-equality work in academia. Furthermore, the project develops innovative gender-equality measures and strategies to promote ...