Search results for "Bay"

showing 10 items of 1187 documents

Pseudomastus deltaicus , gen. et sp.n. (Polychaeta: Capitellidae) from a shallow- water bay in the North- Western Mediterranean Sea

1992

4 Páginas ; 2 Figuras

DeltabiologySetabiology.organism_classificationPygidiumCapitellidaeWaves and shallow waterMediterranean seaOceanographyGeneticsAnimal Science and ZoologyTaxonomy (biology)Molecular BiologyBayEcology Evolution Behavior and Systematics
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Major typhoon phases in the upper Gulf of Thailand over the last 1.5 millennia, determined from coastal deposits on rock islands

2018

Abstract Rapid growth of Asian megacities, exemplified by the megacity of Bangkok, Thailand, with a population of over 10 million inhabitants, means that an increasing number of people are living in low-lying coastal areas exposed to hazards such as typhoons. While Bangkok has always been considered not to be at risk from typhoon strikes, recent discoveries of elevated carbonate boulder deposits have started to question this assumption. This work reports on findings from the islands of Ko Khang Khao and Ko Phai, farther north and west than earlier studies, and adds to the existing body of evidence for prehistorical typhoon-driven high energy marine inundation (HEMI) events penetrating north…

Deltaeducation.field_of_studyCoastal hazards010504 meteorology & atmospheric sciencesPopulation010502 geochemistry & geophysics01 natural scienceschemistry.chemical_compoundOceanographyMegacityGeographychemistryTyphoonPeriod (geology)CarbonateeducationBay0105 earth and related environmental sciencesEarth-Surface ProcessesQuaternary International
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Bayesian Game Model: Demand Side Management for Residential Consumers with Electric Vehicles

2019

This paper proposes the game theory enabled approach for the integration of electric vehicles for demand side management (DSM). Demand side management is very complex with conventional approaches. In order to the efficient mechanism of a game theory enabled approach may resolve the complexity. With the increased penetration level of electric vehicles it will be difficult to control grid-to-vehicle integration. The Bayesian game theory provides the solution of such problems in an organized manner. In the presence of distributed energy resources, Electric vehicles will play an important role to stabilize the grid integration. Electric Vehicles consume power during off-peak load period and inj…

Demand sideBayesian gameSmart gridOperations researchbusiness.industryComputer sciencePeak loadDistributed generationbusinessGridGame theory
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Spatio-temporal analysis of infectious diseases

2018

Los sistemas de vigilancia de salud pública colectan y analizan datos que soportan los programas de control y prevención de enfermedades en todo el mundo. En Colombia, el sistema de vigilancia en salud pública (SIVIGILA) esta encargado del flujo de datos e información de la vigilancia de las enfermedades de notificación obligatoria que afectan la salud de los Colombianos. Las enfermedades transmitidas por mosquitos tales como el dengue, la malaria, la fiebre amarilla, la enfermedad del virus del Chikungunya, la enfermedad del virus del Zika (EVZ) entre otras afectan seriamente la salud de las poblaciones a través de todo el país. Dentro de estas enfermedades se destacan la enfermedad del de…

DengueUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO::Geografía ::Geografía médica:CIENCIAS DE LA TIERRA Y DEL ESPACIO::Geografía ::Geografía médica [UNESCO]ZikaUNESCO::MATEMÁTICAS::Estadística ::Técnicas de predicción estadística:MATEMÁTICAS::Estadística ::Técnicas de inferencia estadística [UNESCO]:CIENCIAS DE LA VIDA::Biomatemáticas::Bioestadística [UNESCO]UNESCO::MATEMÁTICAS::Estadística ::Técnicas de inferencia estadísticaModelos jerárquicos Bayesianos:MATEMÁTICAS::Estadística ::Técnicas de predicción estadística [UNESCO]Mapeo de enfermedadesUNESCO::CIENCIAS DE LA VIDA::Biomatemáticas::Bioestadística
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The Effective Sample Size

2013

Model selection procedures often depend explicitly on the sample size n of the experiment. One example is the Bayesian information criterion (BIC) criterion and another is the use of Zellner–Siow priors in Bayesian model selection. Sample size is well-defined if one has i.i.d real observations, but is not well-defined for vector observations or in non-i.i.d. settings; extensions of critera such as BIC to such settings thus requires a definition of effective sample size that applies also in such cases. A definition of effective sample size that applies to fairly general linear models is proposed and illustrated in a variety of situations. The definition is also used to propose a suitable ‘sc…

Deviance information criterionEconomics and EconometricsBayesian information criterionSample size determinationModel selectionPrior probabilityStatisticsLinear modelBayesian inferenceAlgorithmSelection (genetic algorithm)Statistics::ComputationMathematicsEconometric Reviews
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Bayesian inference of the fluctuating proton shape

2022

Using Bayesian inference, we determine probabilistic constraints on the parameters describing the fluctuating structure of protons at high energy. We employ the color glass condensate framework supplemented with a model for the spatial structure of the proton, along with experimental data from the ZEUS and H1 Collaborations on coherent and incoherent diffractive $\mathrm{J}/\psi$ production in e+p collisions at HERA. This data is found to constrain most model parameters well. This work sets the stage for future global analyses, including experimental data from e+p, p+p, and p+A collisions, to constrain the fluctuating structure of nucleons along with properties of the final state.

Diffractive photoproductionenergiaprotonitNuclear and High Energy PhysicsLarge momentum-transferNuclear Theorybayesilainen menetelmäFOS: Physical sciencesrakenne (ominaisuudet)114 Physical sciencesScalenukleonitScatteringNuclear Theory (nucl-th)J/psi mesonsHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)QuarkCollisionsfysiikkaDependence
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Depth Map Generation by Image Classification

2004

This paper presents a novel and fully automatic technique to estimate depth information from a single input image. The proposed method is based on a new image classification technique able to classify digital images (also in Bayer pattern format) as indoor, outdoor with geometric elements or outdoor without geometric elements. Using the information collected in the classification step a suitable depth map is estimated. The proposed technique is fully unsupervised and is able to generate depth map from a single view of the scene, requiring low computational resources.

Digital imageBayer filterContextual image classificationDepth mapbusiness.industryComputer scienceColor imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONDigital imagingComputer visionArtificial intelligenceImage segmentationbusiness
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Cartulaire-rouleau de l'abbaye du Cateau, relatif au bois de Fontaine-au-Bois

2023

Diplomatique médiévaleAbbayeSchriftlichkeitCartulariesCartulaires FranceMonastères réseaux monastiquesRéseaux monastiques[SHS.HIST] Humanities and Social Sciences/HistoryPratiques médiévales de l'écrit[SHS] Humanities and Social SciencesLiteracy historyScrollsCartulaires-rouleaux
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An Heuristic Approach for the Training Dataset Selection in Fingerprint Classification Tasks

2015

Fingerprint classification is a key issue in automatic fingerprint identification systems. It aims to reduce the item search time within the fingerprint database without affecting the accuracy rate. In this paper an heuristic approach using only the directional image information for the training dataset selection in fingerprint classification tasks is described. The method combines a Fuzzy C-Means clustering method and a Naive Bayes Classifier and it is composed of three modules: the first module builds the working datasets, the second module extracts the training images dataset and, finally, the third module classifies fingerprint images in four classes. Unlike literature approaches using …

Directional imageFingerprint classificationComputer sciencebusiness.industryHeuristicNaive bayes classifierTraining dataset optimizationPattern recognitionBayes classifiercomputer.software_genreClass (biology)Fuzzy logicNaive Bayes classifierComputingMethodologies_PATTERNRECOGNITIONFingerprintArtificial intelligenceData miningCluster analysisbusinesscomputerSelection (genetic algorithm)Fuzzy C-Mean
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Conditional Random Quantities and Iterated Conditioning in the Setting of Coherence

2013

We consider conditional random quantities (c.r.q.’s) in the setting of coherence. Given a numerical r.q. X and a non impossible event H, based on betting scheme we represent the c.r.q. X|H as the unconditional r.q. XH + μH c , where μ is the prevision assessed for X|H. We develop some elements for an algebra of c.r.q.’s, by giving a condition under which two c.r.q.’s X|H and Y|K coincide. We show that X|HK coincides with a suitable c.r.q. Y|K and we apply this representation to Bayesian updating of probabilities, by also deepening some aspects of Bayes’ formula. Then, we introduce a notion of iterated c.r.q. (X|H)|K, by analyzing its relationship with X|HK. Our notion of iterated conditiona…

Discrete mathematicsSettore MAT/06 - Probabilita' E Statistica MatematicaSettore INF/01 - Informaticaconditional random quantitiesCoherence (statistics)Bayesian inferencebayesian updatingcoherenceCombinatoricsconditional previsionsBayes' theoremIterated functionbayesian updating; conditional random quantities; betting scheme; conditional previsions; coherence; iterated conditioning; iterated conditioning.Coherence betting scheme conditional random quantities conditional previsions Bayesian updating iterated conditioning.Scheme (mathematics)iterated conditioningConditioningRepresentation (mathematics)betting schemeEvent (probability theory)Mathematics
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