Search results for " observation"

showing 10 items of 441 documents

Randomized kernels for large scale Earth observation applications

2020

Abstract Current remote sensing applications of bio-geophysical parameter estimation and image classification have to deal with an unprecedented big amount of heterogeneous and complex data sources. New satellite sensors involving a high number of improved time, space and wavelength resolutions give rise to challenging computational problems. Standard physical inversion techniques cannot cope efficiently with this new scenario. Dealing with land cover classification of the new image sources has also turned to be a complex problem requiring large amount of memory and processing time. In order to cope with these problems, statistical learning has greatly helped in the last years to develop st…

FOS: Computer and information sciencesEarth observationComputer Science - Machine Learning010504 meteorology & atmospheric sciencesComputer scienceRemote sensing application0211 other engineering and technologiesSoil Science02 engineering and technologycomputer.software_genre01 natural sciencesMachine Learning (cs.LG)Computers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingContextual image classificationEstimation theoryHyperspectral imagingGeology15. Life on landKernel methodKernel regressionData miningComputational problemcomputerRemote Sensing of Environment
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Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources

2020

This paper reviews the most important information fusion data-driven algorithms based on Machine Learning (ML) techniques for problems in Earth observation. Nowadays we observe and model the Earth with a wealth of observations, from a plethora of different sensors, measuring states, fluxes, processes and variables, at unprecedented spatial and temporal resolutions. Earth observation is well equipped with remote sensing systems, mounted on satellites and airborne platforms, but it also involves in-situ observations, numerical models and social media data streams, among other data sources. Data-driven approaches, and ML techniques in particular, are the natural choice to extract significant i…

FOS: Computer and information sciencesEarth observationComputer Science - Machine LearningComputer scienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition02 engineering and technologyMachine learningcomputer.software_genreField (computer science)Machine Learning (cs.LG)Set (abstract data type)0202 electrical engineering electronic engineering information engineeringbusiness.industryData stream mining020206 networking & telecommunicationsNumerical modelsSensor fusionInformation fusionHardware and ArchitectureSignal Processing020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerSoftwareInformation SystemsInformation Fusion
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Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

2019

Abstract Satellite remote sensing has been widely used in the last decades for agricultural applications, both for assessing vegetation condition and for subsequent yield prediction. Existing remote sensing-based methods to estimate gross primary productivity (GPP), which is an important variable to indicate crop photosynthetic function and stress, typically rely on empirical or semi-empirical approaches, which tend to over-simplify photosynthetic mechanisms. In this work, we take advantage of all parallel developments in mechanistic photosynthesis modeling and satellite data availability for an advanced monitoring of crop productivity. In particular, we combine process-based modeling with …

FOS: Computer and information sciencesLandsat 8Earth observation010504 meteorology & atmospheric sciencesComputer Vision and Pattern Recognition (cs.CV)0208 environmental biotechnologyComputer Science - Computer Vision and Pattern RecognitionSoil Science02 engineering and technologyGross primary productivity (GPP)Sentinel-2 (S2)Machine learningcomputer.software_genre01 natural sciencesRadiative transfer modeling (RTM)Atmospheric radiative transfer codesSoil-canopy-observation of photosynthesis and the energy balance (SCOPE)Computers in Earth SciencesC3 crops0105 earth and related environmental sciencesRemote sensing2. Zero hungerArtificial neural networkbusiness.industryEmpirical modellingNeural networks (NN)GeologyVegetationMachine learning (ML)15. Life on landHybrid approach22/4 OA procedure020801 environmental engineeringVariable (computer science)ITC-ISI-JOURNAL-ARTICLEEnvironmental scienceSatelliteArtificial intelligenceScale (map)businesscomputerRemote sensing of environment
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Advances in detection of fastidious bacteria: From microscopic observation to molecular biosensors

2019

Abstract Identification of pathogens and diagnosis of infections are important health challenges, especially in the case of fastidious bacteria which are those difficult-to-grow. A fastidious organism is any organism that has a complex nutritional requirement. Additionally, a fastidious microorganism will only grow when specific nutrients are included in the culture medium. These bacteria can cause serious diseases whose detection and monitoring is critical in many cases. The oldest detection methods are based on simple microscopy observation and staining, after culture on selective growth media, but often do not provide a clear answer. Some new molecular approaches, such as DNA-based seque…

Fastidious organismbiology010401 analytical chemistrybiology.organism_classification01 natural sciences0104 chemical sciencesAnalytical ChemistryMicroscopic observationMicrobiologyIdentification (biology)Simple MicroscopySpectroscopyOrganismBacteriaTrAC Trends in Analytical Chemistry
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Feedback bei internationalen Videokonferenzen in der Lehrendenbildung

2023

The article deals with interactional processes in video conferences that took place as part of an international training and further education event for DaF-teachers. The focus is on showing how the teachers request feedback from each other in relation to the topics to be discussed and in what form they receive it. Furthermore, the role of moderation should also be examined. The aim of the study is to reveal interaction patterns that characterize the behavior of teachers in the context of digital education in order to promote a professional feedback culture when dealing with lesson observation.

Feedback videoconferencing multimodal analysis teacher training classroom observation
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Observation of Photon Polarization in theb→sγTransition

2014

This Letter presents a study of the flavor-changing neutral current radiative $B^{\pm} \to K^{\pm}\pi^{\mp}\pi^{\pm}\gamma$ decays performed using data collected in proton-proton collisions with the LHCb detector at $7$ and $8\,$TeV center-of-mass energies. In this sample, corresponding to an integrated luminosity of $3\,\text{fb}^{-1}$, nearly $14\,000$ signal events are reconstructed and selected, containing all possible intermediate resonances with a $K^{\pm}\pi^{\mp}\pi^{\pm}$ final state in the $[1.1, 1.9]\,$GeV/$c^{2}$ mass range. The distribution of the angle of the photon direction with respect to the plane defined by the final-state hadrons in their rest frame is studied in interva…

Final statePhotonmedia_common.quotation_subject14.40.NdHadronGeneral Physics and AstronomyLHCb - Abteilung Hofmann12.15.MmAsymmetryHigh energy physics Polarization Tellurium compounds; Center-of-mass energies Direct observations Final state Flavor-changing neutral current Integrated luminosity Photon polarization Proton proton collisions; PhotonsNeutral currentNuclear physicsTellurium compoundsCenter-of-mass energiesPhysics and Astronomy (all)Flavor-changing neutral currentPolarizationPhoton polarizationLeptonic semileptonic and radiative decays of bottom mesonRadiative transferIntermediate stateSDG 7 - Affordable and Clean EnergyHigh energy physicsQCmedia_commonPhysicsIntegrated luminosityPhotons/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energyProton proton collisionsNeutral currentDirect observationsParticle physicsRest framePhoton polarizationLHCb13.20.HeBottom mesons (|B|>0)High Energy Physics::ExperimentLHCFísica de partículesExperimentsPhysical Review Letters
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Venture capitalists' decision-making in small equity markets: a case study using participant observation

2004

Despite significant academic research undertaken in the field of venture capital decision-making process, the dimension and maturity of equity market has not yet been considered as an important contextual factor. Aiming at developing an understanding on how venture capitalists (VCs) select early-stage projects in small equity markets, a pilot study using participant observation technique has been conducted in a Portuguese venture capital firm. The findings indicate that the decision-making process and the criteria used by VCs in this market context differ significantly from those used in the developed equity markets. Regarding the decision-making process as a whole, it appears to be more in…

FinanceSocial venture capitalbusiness.industryEquity (finance)Private equity firmParticipant observationVenture capitallanguage.human_languageEconomicslanguageBusiness and International ManagementMarketingPortugueseDecision-makingbusinessFinanceEquity capital marketsVenture Capital
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Profil Tempat Tumbuh Sarang Semut (Myrmecodia spp.) Di Distrik Manokwari Selatan Papua Barat

2019

Papua has a very high diversity of flora species, one of which is a type of Sarang Semut. Different growing conditions will affect the level of diversity of plants. For that information about the place to grow Ant Plant is needed as basic information for the development of the cultivation of Ant plants. The method used is descriptive method with field observation technique. The results showed that the type of ant nest plant found in South Manokwari was a type of Myrmecodia pendans and Myrmecodia cf. schlechteri. Both of these species do not grow evenly in all study locations even at the same height, this plant has a characteristic growing place: it grows on host trees that are not slippery,…

FloraMyrmecophytebiologyHost (biology)BotanyAnt colonyMyrmecodiabiology.organism_classificationField observationEnviroScienteae
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Episodic memories: how do the hippocampus and the entorhinal ring attractors cooperate to create them?

2020

AbstractThe brain is capable of registering a constellation of events, encountered only once, as an episodic memory that can last for a lifetime. As evidenced by the clinical case of the patient HM, memories preserving their episodic nature still depend on the hippocampal formation, several years after being created, while semantic memories are thought to reside in neocortical areas. The neurobiological substrate of one-time learning and life-long storing in the brain, that must exist at the cellular and circuit level, is still undiscovered. The breakthrough is delayed by the fact that studies jointly investigating the rodent hippocampus and entorhinal cortex are mostly targeted at understa…

Functional observationsComputer sciencehippocampusCognitive NeuroscienceNeuroscience (miscellaneous)Hippocampusgrid cellsHippocampal formationlcsh:RC321-57103 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineDevelopmental NeuroscienceEncoding (memory)Semantic memoryEpisodic memorylcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biology0303 health sciencesentorhinal cortexepisodic memoryphase precessionEntorhinal cortexplasticityClinical caseNeuroscience030217 neurology & neurosurgery
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Parasitic microfungi on land plants in France : a commented list of presumably unpublished taxa.

2019

As part of an inventory of more than 800 parasitic Microfungi on land plants from the centre of France, 47 taxa reveal having no satisfactory correspondence with already described species in the usual textbooks devoted to this subject. As such, these seemingly yet unpublished taxa may constitute material of interest, for which critically commented descriptions are provided.

Fungi imperfectiDeutéromycètesnouveautésDeuteromycotanew observations[SDV.BID] Life Sciences [q-bio]/Biodiversity
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