Fakultet for naturvitenskap og teknologi: Recent submissions
Now showing items 501-520 of 4870
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Second-order PDEs in four dimensions with half-flat conformal structure
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-01-29)We study second-order partial differential equations (PDEs) in four dimensions for which the conformal structure defined by the characteristic variety of the equation is half-flat (self-dual or anti-self-dual) on every solution. We prove that this requirement implies the Monge–Ampère property. Since half-flatness of the conformal structure is equivalent to the existence of a non-trivial dispersionless ... -
KAIRA Science Results
(Conference object; Konferansebidrag, 2018) -
Land cover changes detection in polarimetric SAR data using algebra, similarity and distance based methods
(Journal article; Tidsskriftartikkel, 2017-09-27)Monitoring and surveillance changes around the world need powerful methods, so detection, visualization, and assessment of significant changes are essential for planning and management. Incorporating polarimetric SAR images due to interactions between electromagnetic waves and target and because of the high spatial resolution almost one meter can be used to study changes in the Earth's surface. Full ... -
Turbidites in the Eocene of Spitsbergen: Can they tell us something about the Sørvestsnaget Basin?
(Conference object; Konferansebidrag, 2017)<p>The Eocene of Spitsbergen, Svalbard, has received considerable attention in the literature because of its spectacular seismic-scale clinforms exposed along many fiords and valleys. High quality outcrops enables downdip tracing of facies belts from the proximal shelf through the shelf-edge and down-slope into the basin floor. Previous publications particularly focused on the shelf-edge to slope ... -
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 ... -
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 ... -
Uptake and Degradation of Bacteriophages by Liver Sinusoidal Endothelial Cells
(Conference object; Konferansebidrag, 2018)<p>Bacteriophages (briefly, “phages”) are viruses which target bacteria, and are non-infectious to eukaryotic cells. It is estimated that more than 30 billion phages cross into the human body from the gut each day1, and eventually need to be cleared from the blood circulation. The liver plays a central role in pathogen clearance, and liver sinusoidal endothelial cells (LSECs), which form the lining ... -
Trusted Computing on Privacy Sensitive Data with Diggi
(Conference object; Konferansebidrag, 2017) -
The Lower Cretaceous of Svalbard and its relevance for exploration in the northern Barents Sea
(Conference object; Konferansebidrag, 2017)The Lower Cretaceous succession in the Barents Sea is listed as a potential play model by the Norwegian Petroleum Directorate. Reservoirs may occur in deep to shallow marine clastic wedges located in proximity to palaeo-highs and along basin margins. In addition, shelf-prism-scale clinoforms with high amplitude anomalies in their top- and bottomsets have been reported from reflection seismic but ... -
Polarimetric Guided Nonlocal Means Covariance Matrix Estimation for Defoliation Mapping
(Conference object; Konferansebidrag, 2020)In this study we investigate the potential for using synthetic aperture radar (SAR) data to provide high resolution defoliation and regrowth mapping of trees in the tundra-forest ecotone. Using aerial photographs, four areas with live forest and four areas with dead trees were identified. Quad-polarimetric SAR data from RADARSAT-2 was collected from the same area, and the complex multilook polarimetric ... -
Generation of Lidar-Predicted Forest Biomass Maps from Radar Backscatter with Conditional Generative Adversarial Networks
(Conference object; Konferansebidrag, 2020) -
Heterogeneous Change Detection with Self-supervised Deep Canonically Correlated Autoencoders
(Conference object; Konferansebidrag, 2020) -
Change Detection with Heterogeneous Remote Sensing Data: From Semi-Parametric Regression to Deep Learning
(Conference object; Konferansebidrag, 2020) -
Polarizable Density Embedding for Large Biomolecular Systems
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-29)We present an efficient and robust fragment-based quantum–classical embedding model capable of accurately capturing effects from complex environments such as proteins and nucleic acids. This is realized by combining the molecular fractionation with conjugate caps (MFCC) procedure with the polarizable density embedding (PDE) model at the level of Fock matrix construction. The PDE contributions to the ... -
A study of energy use and associated greenhouse gas emissions in Norwegian small-scale processing of whitefish
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-26)This study considers the energy use and associated greenhouse gas (GHG) emissions at three fish processing companies, representing a seasonal small-scale whitefish processing industry within the Norwegian coastal fisheries. The primary objective is to analyse the energy use in small-scale processing of whitefish and to provide energy requirements for primary processing, freezer and freezer storage, ... -
Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-11)Deep neural networks are complex machine learning models that have shown promising results in analyzing high-dimensional data such as those collected from medical examinations. Such models have the potential to provide fast and accurate medical diagnoses. However, the high complexity makes deep neural networks and their predictions difficult to understand. Providing model explanations can be a way ... -
Image denoising in acoustic microscopy using block-matching and 4D filter
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-14)Scanning acoustic microscopy (SAM) is a label-free imaging technique used in biomedical imaging, non-destructive testing, and material research to visualize surface and sub-surface structures. In ultrasonic imaging, noises in images can reduce contrast, edge and texture details, and resolution, negatively impacting post-processing algorithms. To reduce the noises in the scanned image, we have employed ...