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Spatial variation in the relationship between performance and metabolic rate in wild juvenile Atlantic salmon
(Journal article; Peer reviewed, 2014)Maintenance of metabolic rate (MR, the energy cost of self-maintenance) is linked to behavioural traits and fitness and varies substantially within populations. Despite having received much attention, the causes and ... -
Spatial variations in wave conditions at aquaculture sites
(Master thesis, 2020)Målet med denne Masteroppgaven er å undersøke romlig variasjon av bølgeforhold på et havbruksanlegg, og å prøve å finne ut om romlig variasjon kan ha en effekt på påliteligheten til lokalitetsundersøkelser slik de gjøres ... -
Spatial-temporal structure of the femtosecond third harmonic generation in photonic-crystal fibers
(Journal article; Peer reviewed, 2007)We analyze the third harmonic generation by the supercontinuum at 1.5 µm in nonlinear-glass microstructured fibers. The numerical model includes the real field dynamics and allows analyzing the spectral as well as the ... -
Spatially and taxonomically explicit characterisation factors for greenhouse gas emission impacts on biodiversity
(Peer reviewed; Journal article, 2023)In life-cycle impact assessment, currently available characterisation factors (CF) for climate change impacts on biodiversity are highly simplified and do not consider spatial and taxonomic differentiation of species or ... -
Spatially Confined Spin Polarization and magnetic sublattice control in (La,Sr)MnO3−δ Thin Films by Oxygen Vacancy Ordering
(Journal article; Peer reviewed, 2017)Perovskite oxides are known for their strong structure property coupling and functional properties such as ferromagntism, ferroelectricity and high temperature superconductivity. While the effect of ordered cation vacancies ... -
Spatially Indexed Clustering for Scalable Tracking of Remotely Sensed Drift Ice
(Chapter, 2017)For operations in the Arctic, drift ice can be a major hazard. To be able to mitigate this, it is essential to know the position of viable threats. Many sensors can be employed, such as satellite Synthetic Aperture Radar ... -
Spatially sensitive statistical shape analysis for pedestrian recognition from LIDAR data
(Journal article, 2018)Range-based pedestrian recognition is instrumental towards the development of autonomous driving and driving assistance systems. This work introduces encoding methods for pedestrian recognition, based on statistical shape ... -
Spatially varying anisotropy for Gaussian random fields in three-dimensional space
(Journal article; Peer reviewed, 2023)Isotropic covariance structures can be unreasonable for phenomena in three-dimensional spaces. In the ocean, the variability of a response may vary with depth, and ocean currents may lead to spatially varying anisotropy. ... -
Spatio-Temporal Changes in Wildlife Habitat Quality in the Greater Serengeti Ecosystem
(Peer reviewed; Journal article, 2020)Understanding habitat quality and its dynamics is imperative for maintaining healthy wildlife populations and ecosystems. We mapped and evaluated changes in habitat quality (1975–2015) in the Greater Serengeti Ecosystem ... -
Spatio-Temporal Colour Correction of Strongly Degraded Films
(Master thesis, 2010)The archives of motion pictures represent an important part of precious cultural heritage. But unfortunately, these collections of cinematography are vulnerable to different types of distortions; specially, the effect ... -
Spatio-temporal colour correction of strongly degraded movies
(Proceedings of SPIE;7866, Journal article; Peer reviewed, 2011)The archives of motion pictures represent an important part of precious cultural heritage. Unfortunately, these cinematography collections are vulnerable to different distortions such as colour fading which is beyond the ... -
Spatio-Temporal Databases for Indoor Positioning Systems
(Master thesis, 2005)We have discussed two related topics in this thesis: the design of location models and spatio-temporal databases for indoor positioning systems. We conclude our work with a short recapitulation of the main issues presented ... -
Spatio-Temporal Decision Fusion for Quickest Fault Detection Within Industrial Plants: The Oil and Gas Scenario
(Chapter, 2021)In this work, we present a spatio-temporal decision fusion approach aimed at performing quickest detection of faults within an Oil and Gas subsea production system. Specifically, a sensor network collectively monitors the ... -
Spatio-temporal dispersal dynamics of a natural house sparrow metapopulation
(Doctoral theses at NTNU;2023:341, Doctoral thesis, 2023)Dispersal plays a critical role in determining eco-evolutionary dynamics by affecting population sizes and causing gene flow, which influence spatial correlations in demography and genetic structure of local populations. ... -
Spatio-temporal Gaussian processes and excursion sets for adaptive environmental sensing using underwater robotics
(Master thesis, 2019)Utviklingen av undervannsrobotikk gjør det mulig å utforske havet på nye måter, og denne teknologien kan nå brukes i miljøovervåking. I denne oppgaven er undervannsovervåking anvendt på konsentrasjon av forurensing fra en ... -
Spatio-Temporal Graph Attention Network for Anomaly Detection in the Telco Domain
(Master thesis, 2021)På de neste sidene er masteroppgaven vår om hvordan de nylige fremskrittene i dyplæringsarkitekturer, nemlig grafnevrale nettverk, kan utføre feildeteksjon uten tilsyn, i telekommunikasjonsdomenet (telco). Dette arbeidet ... -
Spatio-Temporal Graph Attention Network for Anomaly Detection in the Telco Domain
(Master thesis, 2021)På de neste sidene er masteroppgaven vår om hvordan de nylige fremskrittene i dyplæringsarkitekturer, nemlig grafnevrale nettverk, kan utføre feildeteksjon uten tilsyn, i telekommunikasjonsdomenet (telco). Dette arbeidet ... -
Spatio-temporal Inversion using the Selection Kalman Model
(Peer reviewed; Journal article, 2021)Data assimilation in models representing spatio-temporal phenomena poses a challenge, particularly if the spatial histogram of the variable appears with multiple modes. The traditional Kalman model is based on a Gaussian ... -
Spatio-temporal modelling of infectious diseases using the ensemble Kalman model
(Master thesis, 2020)I denne oppgaven modellerer vi spredningen av en smittsom sykdom ved å bruke Bayesiansk inversjon og forener rom-tid modellen med modellen for spredningen av smittsomme sykdommer. Variablene av interesse er hendelser og ... -
Spatio-Temporal Quality Issues for Local Search
(Chapter, 2014)Geographic search is routinely used in many services and applications that exploit the availability of Web content which is related to a real world place, region or object. However, do you trust the location information? ...