Blar i Faculty of Mathematics and Natural Sciences på tittel
Viser treff 1658-1677 av 9860
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Decomposition of map graphs with applications
(Peer reviewed; Journal article, 2019) -
Deconstructing Future AMOC Decline at 26.5°N
(Journal article; Peer reviewed, 2023)The Atlantic Meridional Overturning Circulation (AMOC) is frequently used to diagnose the state of the North Atlantic circulation, but as an integrated quantity the AMOC strength does not necessarily mirror changes in the ... -
Decontamination of persistent organic pollutants in fishmeal and fish oil. Process optimization and modeling
(Doctoral thesis, 2011-10-07)Persistent organic pollutants (POPs) are fat soluble chemical substances that persist in the environment and bioaccumulate in the food chain. Through long-range environmental transportation by air, water and migratory ... -
Decreased severity of the Omicron variant of concern: further evidence from Italy
(Journal article; Peer reviewed, 2022) -
Decreasing Arctic Sea Ice Mirrors Increasing CO2 on Decadal Time Scale
(Atmospheric and Oceanic Science Letters, Journal article, 2008-11-16)Arctic sea ice is a keystone indicator of greenhouse-gas induced global climate change, which is expected to be amplified in the Arctic. Here we directly compare observed variations in arctic sea-ice extent and CO2 since ... -
Decreasing intensity of open-ocean convection in the Greenland and Iceland seas
(Peer reviewed; Journal article, 2015)The air–sea transfer of heat and fresh water plays a critical role in the global climate system1. This is particularly true for the Greenland and Iceland seas, where these fluxes drive ocean convection that contributes to ... -
Deep chlorophyll a maxima (DCMs) in pelagic Antarctic waters. II. Relation to bathymetric features and dissolved iron concentrations
(Peer reviewed; Journal article, 2005-08-01)A deep chlorophyll a maximum (DCM) at depths between 60 and 90 m in waters south of the Antarctic Polar Front (APF) occurs only in pelagic waters where the chlorophyll a concentrations in the upper mixed layer (UML) are ... -
Deep conservation of ribosome stall sites across RNA processing genes
(Journal article; Peer reviewed, 2021)The rate of translation can vary depending on the mRNA template. During the elongation phase the ribosome can transiently pause or permanently stall. A pause can provide the nascent protein with the time to fold or be ... -
Deep Crustal Flow Within Postorogenic Metamorphic Core Complexes: Insights From the Southern Western Gneiss Region of Norway
(Peer reviewed; Journal article, 2019)Viscous crustal flow can exhume once deeply buried rocks in postorogenic metamorphic core complexes (MCCs). While migmatite domes record the flow dynamics of anatectic crust, the mechanics and kinematics of solid‐state ... -
Deep Learning and Deep Reinforcement Learning for Graph Based Applications
(Doctoral thesis, 2024-01-26)Dyp læring har gitt state-of-the-art ytelse i mange applikasjoner som datasyn, tekstanalyse, biologi, osv. Suksessen med dyp læring har også hjulpet fremveksten av dyp forsterkende læring for optimal beslutningstaking og ... -
Deep Learning Approach To Gene Network Inference
(Master thesis, 2023-06-01)Gene regulatory network(GRN) inference remains a challenging problem in the field of bioinformatics. GRN contain valuable information needed to get a deeper understanding of the regulatory network. This could lead to ... -
Deep learning jet modifications in heavy-ion collisions
(Journal article; Peer reviewed, 2021)Jet interactions in a hot QCD medium created in heavy-ion collisions are conventionally assessed by measuring the modification of the distributions of jet observables with respect to the proton-proton baseline. However, ... -
Deep Learning Methods for Automated Classification of Fish Behavior
(Master thesis, 2022-06-01) -
Deep learning-based cross-sensor super resolution of satellite images
(Master thesis, 2021-11-22)Subtitle: Multispectral-to-panchromatic single-image super resolution of GeoEye-1 satellite images using an ESRGAN deep learning model trained exclusively on WorldView-2 images. Abstract: Today, easy and abundant access ... -
A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images
(Journal article; Peer reviewed, 2021)Fish counts and species information can be obtained from images taken within trawls, which enables trawl surveys to operate without extracting fish from their habitat, yields distribution data at fine scale for better ... -
Deep learning-enabled Inference of 3D molecular absorption distribution of biological cells from IR spectra
(Journal article; Peer reviewed, 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 ocean experiments with fossil fuel carbon dioxide: creation and sensing of a controlled plume at 4 km depth
(Peer reviewed; Journal article, 2005-01)The rapidly rising levels of atmospheric and oceanic CO2 from the burning of fossil fuels has lead to well-established international concerns over dangerous anthropogenic interference with climate. Disposal of captured ... -
Deep Reinforcement Learning for Computation Offloading in Mobile Edge Computing
(Master thesis, 2022-06-01)As 5G-networks are deployed worldwide, mobile edge computing (MEC) has been developed to help alleviate resource-intensive computations from an application. Here, IoT devices can offload their computation to an MEC server ... -
Deep sea sedimentary analogs for the Vostok ice core
(Peer reviewed; Journal article, 2003-08-07)Many applications of the Vostok ice core depend critically on the ability to make stratigraphic ties to marine records in the adjacent Southern Ocean. Here we present oxygen isotopic records from high accumulation rate ... -
Deep submarine infiltration of altered geothermal groundwater on the south Chilean Margin
(Journal article; Peer reviewed, 2022)Submarine groundwater discharge is increasingly recognized as an important component of the oceanic geochemical budget, but knowledge of the distribution of this phenomenon is limited. To date, reports of meteoric inputs ...