Blar i Norges miljø- og biovitenskapelige universitet på tittel
Viser treff 2938-2957 av 17121
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Decomposing demographic contributions to the effective population size with moose as a case study
(Peer reviewed; Journal article, 2020)Levels of random genetic drift are influenced by demographic factors, such as mating system, sex ratio and age structure. The effective population size (N e) is a useful measure for quantifying genetic drift. Evaluating ... -
Decomposing demographic contributions to the effective population size with moose as a case study
(Peer reviewed; Journal article, 2020)Levels of random genetic drift are influenced by demographic factors, such as mating system, sex ratio and age structure. The effective population size (Ne) is a useful measure for quantifying genetic drift. Evaluating ... -
Decomposition of Beech and Spruce Litter in Neighbouring Beech and Spruce Forests
(Master thesis, 2017)Climate change is expected to cause a transformation from spruce to beech dominated forests in a large part of southeast Norway. A shift in dominating tree species may have a large effect on the factors controlling the ... -
Decoration or participation : Children's Tracks and the zoning planning of an area undergoing development and densification
(Master thesis, 2018)The thesis builds on two perspectives which are seen as interconnected, and thus treated as such in the thesis: the perspective of children’s participation as a means of promoting their local experiential knowledge in ... -
Decoupling photo- and thermoperiod by projected climate change perturbs bud development, dormancy establishment and vernalization in the model tree Populus
(Journal article; Peer reviewed, 2018)Abstract Background: The performance and survival of deciduous trees depends on their innate ability to anticipate seasonal change. A key event is the timely production of short photoperiod-induced terminal and axillary ... -
Decreased serum concentrations of antiseizure medications in children with drug resistant epilepsy following treatment with ketogenic diet
(Peer reviewed; Journal article, 2023) -
Decreases of carbon and nitrogen in the soils of a 20-year chronosequence of restored wetlands, Washington State, USA
(Master thesis, 2016-09-02)Freshwater wetland restoration is intended to replace both area and function as part of compensatory mitigation, including restoration of biogeochemical soil processes. This study examined the amount of carbon (C) and ... -
Deep convolutional neural network recovers pure absorbance spectra from highly scatter‐distorted spectra of cells
(Peer reviewed; Journal article, 2020) -
A Deep Learning Approach for the Classification of Neuronal Cell Types
(Academic article, 2018) -
Deep learning for automatic delineation of tumours from PET/CT images
(Master thesis, 2019)Purpose: The delineation of tumours and malignant lymph nodes in medical images is an essential part of radiotherapy. However, it is both time-consuming and prone to inter-observer variability. Automating this process is ... -
Deep learning for automatic tumor delineation of anal cancer based on MRI, PET and CT images
(Master thesis, 2019)Presis inntegning av tumorer ansees som det svakeste leddet og den største kilden til usikkerhet ved planlegging av strålebehandling. Formålet med denne avhandlingen er å utforske mulighetene for automatisk inntegning av ... -
Deep learning image recognition enables efficient genome editing in zebrafish by automated injections
(Journal article; Peer reviewed, 2019) -
Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients
(Peer reviewed; Journal article, 2021) -
Deep learning-enabled Inference of 3D molecular absorption distribution of biological cells from IR spectra
(Peer reviewed; Journal article, 2022)Infrared spectroscopy delivers abundant information about the chemical composition, as well as the structural and optical properties of intact samples in a non-destructive manner. We present a deep convolutional neural ... -
Deep learning-enabled Inference of 3D molecular absorption distribution of biological cells from IR spectra
(Peer reviewed; Journal article, 2022) -
Deep neural networks for object detection in agricultural robotics
(Master thesis, 2017)Robotization of tasks in the agricultural domain has the potential to transform food production through continuous surveillance of crops which can facilitate precise admin- istration of nutrients, fertilizers and treatments ... -
Deep reinforcement learning for vehicle-to-grid control of long-term parked EVs : a case study of Oslo airport Gardermoen
(Master thesis, 2022)There is a growing demand for electricity that leads to costly expansions of the grid capacity having to be made. Additionally this increase in demand also leads to the introduction of unregulated energy resources that ... -
Deep Semisupervised Teacher-Student Model Based on Label Propagation for Sea Ice Classification
(Peer reviewed; Journal article, 2021) -
Deep Semisupervised Teacher–Student Model Based on Label Propagation for Sea Ice Classification
(Peer reviewed; Journal article, 2021)In this article, we propose a novelteacher–student-based label propagation deep semisupervised learning (TSLP-SSL) method for sea ice classification based on Sentinel-1 synthetic aperture radar data. For sea ice classification, ... -
Deep transcriptome analysis of the heat shock response in an Atlantic sturgeon (Acipenser oxyrinchus) cell line
(Journal article; Peer reviewed, 2019)