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1

Pai, Madhusudan Gurpura. "Probability density function formalism for multiphase flows." [Ames, Iowa : Iowa State University], 2007.

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2

Louloudi, Sofia. "Transported probability density function : modelling of turbulent jet flames." Thesis, Imperial College London, 2003. http://hdl.handle.net/10044/1/8007.

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3

Aguirre-Saldivar, Rina Guadalupe. "Two scalar probability density function models for turbulent flames." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/38213.

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4

Joshi, Niranjan Bhaskar. "Non-parametric probability density function estimation for medical images." Thesis, University of Oxford, 2008. http://ora.ox.ac.uk/objects/uuid:ebc6af07-770b-4fee-9dc9-5ebbe452a0c1.

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The estimation of probability density functions (PDF) of intensity values plays an important role in medical image analysis. Non-parametric PDF estimation methods have the advantage of generality in their application. The two most popular estimators in image analysis methods to perform the non-parametric PDF estimation task are the histogram and the kernel density estimator. But these popular estimators crucially need to be ‘tuned’ by setting a number of parameters and may be either computationally inefficient or need a large amount of training data. In this thesis, we critically analyse and f
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Hulek, Tomas. "Modelling of turbulent combustion using transported probability density function methods." Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.339223.

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6

Rahikainen, I. (Ilkka). "Direct methodology for estimating the risk neutral probability density function." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201404241289.

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The target of the study is to find out if the direct methodology could provide same information about the parameters of the risk neutral probability density function (RND) than the reference RND methodologies. The direct methodology is based on for defining the parameters of the RND from underlying asset by using futures contracts and only few at-the-money (ATM) and/or close at-the-money (ATM) options on asset. Of course for enabling the analysis of the feasibility of the direct methodology the reference RNDs must be estimated from the option data. Finally the results of estimating the paramet
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7

Kakhi, M. "The transported probability density function approach for predicting turbulent combusting flows." Thesis, Imperial College London, 1994. http://hdl.handle.net/10044/1/8729.

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8

Sadeghi, Mohammad T. "Automatic architecture selection for probability density function estimation in computer vision." Thesis, University of Surrey, 2002. http://epubs.surrey.ac.uk/843248/.

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In this thesis, the problem of probability density function estimation using finite mixture models is considered. Gaussian mixture modelling is used to provide a semi-parametric density estimate for a given data set. The fundamental problem with this approach is that the number of mixtures required to adequately describe the data is not known in advance. In this work, a predictive validation technique [91] is studied and developed as a useful, operational tool that automatically selects the number of components for Gaussian mixture models. The predictive validation test approves a candidate mo
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Weerasinghe, Weerasinghe Mudalige Sujith Rohitha. "Application of Lagrangian probability density function approach to turbulent reacting flows." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392476.

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10

Hao, Wei-Da. "Waveform Estimation with Jitter Noise by Pseudo Symmetrical Probability Density Function." PDXScholar, 1993. https://pdxscholar.library.pdx.edu/open_access_etds/4587.

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A new method for solving jitter noise in estimating high frequency waveform is proposed. It reduces the bias of the estimation in those points where all the other methods fail to achieve. It provides preliminary models for estimating percentiles in Normal, Exponential probability density function. Based on the model for Normal probability density function, a model for any probability density function is derived. The resulting percentiles, in turn, are used as estimates for the amplitude of the waveform. Simulation results show us with satisfactory accuracy.
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Kharoufeh, Jeffrey P. "Density estimation for functions of correlated random variables." Ohio : Ohio University, 1997. http://www.ohiolink.edu/etd/view.cgi?ohiou1177097417.

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12

Phillips, Kimberly Ann. "Probability Density Function Estimation Applied to Minimum Bit Error Rate Adaptive Filtering." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/33280.

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It is known that a matched filter is optimal for a signal corrupted by Gaussian noise. In a wireless environment, the received signal may be corrupted by Gaussian noise and a variety of other channel disturbances: cochannel interference, multiple access interference, large and small-scale fading, etc. Adaptive filtering is the usual approach to mitigating this channel distortion. Existing adaptive filtering techniques usually attempt to minimize the mean square error (MSE) of some aspect of the received signal, with respect to the desired aspect of that signal. Adaptive minimization of MSE
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13

Burot, Daria. "Transported probability density function for the numerical simulation of flames characteristic of fire." Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0026/document.

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La simulation de scenarios d’incendie nécessite de modéliser de nombreux processus complexe, particulièrement la combustion gazeuse d’hydrocarbure incluant la production de suie et les transferts radiatifs dans un écoulement turbulent. La nature turbulente de l’écoulement fait apparaitre des interactions qui doivent être prises en compte entre ces processus. L’objectif de cette thèse est d’implémenter une méthode de transport de la fonction de densité de probabilité afin de modéliser ces interactions de manière précise. En conjonction avec un modèle de flammelettes, le modèle de Lindstedt et u
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14

Esterhuizen, Gerhard. "Generalised density function estimation using moments and the characteristic function." Thesis, Link to the online version, 2003. http://hdl.handle.net/10019.1/1001.

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15

Pokhrel, Keshav Prasad. "Statistical Analysis and Modeling of Brain Tumor Data: Histology and Regional Effects." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4746.

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Comprehensive statistical models for non-normally distributed cancerous tumor sizes are of prime importance in epidemiological studies, whereas a long term forecasting models can facilitate in reducing complications and uncertainties of medical progress. The statistical forecasting models are critical for a better understanding of the disease and supply appropriate treatments. In addition such a model can be used for the allocations of budgets, planning, control and evaluations of ongoing efforts of prevention and early detection of the diseases. In the present study, we investigate the effect
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16

Jornet, Sanz Marc. "Mean square solutions of random linear models and computation of their probability density function." Doctoral thesis, Universitat Politècnica de València, 2020. http://hdl.handle.net/10251/138394.

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[EN] This thesis concerns the analysis of differential equations with uncertain input parameters, in the form of random variables or stochastic processes with any type of probability distributions. In modeling, the input coefficients are set from experimental data, which often involve uncertainties from measurement errors. Moreover, the behavior of the physical phenomenon under study does not follow strict deterministic laws. It is thus more realistic to consider mathematical models with randomness in their formulation. The solution, considered in the sample-path or the mean square sense, is a
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Calatayud, Gregori Julia. "Computational methods for random differential equations: probability density function and estimation of the parameters." Doctoral thesis, Universitat Politècnica de València, 2020. http://hdl.handle.net/10251/138396.

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[EN] Mathematical models based on deterministic differential equations do not take into account the inherent uncertainty of the physical phenomenon (in a wide sense) under study. In addition, inaccuracies in the collected data often arise due to errors in the measurements. It thus becomes necessary to treat the input parameters of the model as random quantities, in the form of random variables or stochastic processes. This gives rise to the study of random ordinary and partial differential equations. The computation of the probability density function of the stochastic solution is important
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18

Elbahloul, Salem A. "Modelling of turbulent flames with transported probability density function and rate-controlled constrained equilibrium methods." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/30826.

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In this study, turbulent diffusion flames have been modelled using the Transported Probability Density Function (PDF) method and chemistry reduction with the Rate-Controlled Constrained Equilibrium (RCCE). RCCE is a systematic method of chemistry reduction which is employed to simulate the evolution of the chemical composition with a reduced number of species. It is based on the principle of chemical time-scale separation and is formulated in a generalised and systematic manner that allows a reduced mechanism to be derived given a set of constraint species. The transported scalar PDF method wa
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Rashid, Muhammad Asim. "An LTE implementation based on a road traffic density model." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-101990.

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The increase in vehicular traffic has created new challenges in determining the behavior of performance of data and safety measures in traffic. Hence, traffic signals on intersection used as cost effective and time saving tools for traffic management in urban areas. But on the other hand the signalized intersections in congested urban areas are the key source of high traffic density and slow traffic. High traffic density causes the slow network traffic data rate between vehicle to vehicle and vehicle to infrastructure. To match up with the emerging technologies, LTE takes the lead with good pa
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Baig, Arif Marza. "Prediction of passive scalar in a mixing layer using vortex-in-cell and probability density function methods." Thesis, University of Ottawa (Canada), 2002. http://hdl.handle.net/10393/6343.

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The transport equation for the probability density function (p.d.f.) of a scalar is applied in conjunction with the vortex-in-cell (VIC) method developed by Abdolhosseini and Milane (1998), to predict the passive scalar field in a two-dimensional spatially growing mixing layer. The VIC method predicts the instantaneous velocity field. Then the turbulent flow characteristics such as mean velocity, the root-mean-square (r.m.s.) longitudinal and lateral velocity fluctuations and the Reynolds shear stress are calculated. The scalar field is represented through the transport equation for the scalar
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21

Yi, Jianwen. "Large eddy probability density function (LEPDF) simulations for turbulent reactive channel flows and hybrid rocket combustion investigations." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187273.

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A new numerical simulation methodology, Large Eddy Probability Density Function (LEPDF), and corresponding numerical code have been developed for turbulent reactive flow systems. In LEPDF, large scale of turbulent motion is resolved accurately. Small scale of motion is taken care of by a modified Smagorinsky subgrid scale model. Chemical reaction terms are resolved exactly without modeling. A numerical scheme to generate inflow boundary conditions has been proposed for spatial simulations of turbulent flows. Monte-Carlo scheme is used to resolve filtered PDF (Probability Density Function) evol
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22

辻, 義之, Yoshiyuki TSUJI, 圭. 宮地, Kei MIYACHI, 育雄 中村 та Ikuo NAKAMURA. "平板乱流境界層対数速度分布領域における変動速度確率密度関数の特性 (第2報, レイノルズ数依存性について)". 日本機械学会, 2002. http://hdl.handle.net/2237/9103.

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23

Johnson, Paul E. "Uncertainties in Oceanic Microwave Remote Sensing: The Radar Footprint, the Wind-Backscatter Relationship, and the Measurement Probability Density Function." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/71.

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Oceanic microwave remote sensing provides the data necessary for the estimation of significant geophysical parameters such as the near-surface vector wind. To obtain accurate estimates, a precise understanding of the measurements is critical. This work clarifies and quantifies specific uncertainties in the scattered power measured by an active radar instrument. While there are many sources of uncertainty in remote sensing measurements, this work concentrates on three significant, yet largely unstudied effects. With a theoretical derivation of the backscatter from an ocean-like surface, results
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24

Forgo, Vincent Z. Mr. "A Distribution of the First Order Statistic When the Sample Size is Random." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etd/3181.

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Statistical distributions also known as probability distributions are used to model a random experiment. Probability distributions consist of probability density functions (pdf) and cumulative density functions (cdf). Probability distributions are widely used in the area of engineering, actuarial science, computer science, biological science, physics, and other applicable areas of study. Statistics are used to draw conclusions about the population through probability models. Sample statistics such as the minimum, first quartile, median, third quartile, and maximum, referred to as the five-numb
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25

Jesch, Dávid [Verfasser], Johannes [Akademischer Betreuer] Janicka, and Michael [Akademischer Betreuer] Schäfer. "Large Eddy Simulation of Turbulent Combustion: A Novel Multivariate Probability Density Function Approach / Dávid Jesch. Betreuer: Johannes Janicka ; Michael Schäfer." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2016. http://d-nb.info/1112269606/34.

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26

Bordet, Nicolas. "Modélisation 0D/1D de la combustion diesel : du mode conventionnel au mode homogène." Phd thesis, Université d'Orléans, 2011. http://tel.archives-ouvertes.fr/tel-00717396.

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Cette thèse porte sur la modélisation 0D/1D de la combustion Diesel dans les moteurs récents. L'objectif est d'augmenter la précision des modèles tout en limitant les temps de calcul associés afin d'utiliser la simulation comme un outil dédié à la mise au point. Dans une première partie, le développement d'un modèle 0D orienté simulation système est présenté. La prise en compte de l'ensemble des phénomènes physico-chimiques se déroulant dans la chambre de combustion confère au modèle un niveau de prédictivité conséquent. Un nouveau modèle de combustion de prémélange est proposé, permettant une
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27

Mo, Eirik. "Nonlinear stochastic dynamics and chaos by numerical path integration." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1786.

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<p>The numerical path integration method for solving stochastic differential equations is extended to solve systems up to six spatial dimensions, angular variables, and highly nonlinear systems - including systems that results in discontinuities in the response probability density function of the system. Novel methods to stabilize the numerical method and increase computation speed are presented and discussed. This includes the use of the fast Fourier transform (FFT) and some new spline interpolation methods. Some sufficient criteria for the path integration theory to be applicable is also pre
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辻, 義之, Yoshiyuki TSUJI, 圭. 宮地 та ін. "平板乱流境界層対数速度分布領域における変動速度確率密度関数の特性 (第3報, 対数法則領域における整構造の役割)". 日本機械学会, 2004. http://hdl.handle.net/2237/9097.

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29

Gaddam, Purna Chandra Srinivas Kumar, and Prathik Sunkara. "Advanced Image Processing Using Histogram Equalization and Android Application Implementation." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13735.

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Now a days the conditions at which the image taken may lead to near zero visibility for the human eye. They may usually due to lack of clarity, just like effects enclosed on earth’s atmosphere which have effects upon the images due to haze, fog and other day light effects. The effects on such images may exists, so useful information taken under those scenarios should be enhanced and made clear to recognize the objects and other useful information. To deal with such issues caused by low light or through the imaging devices experience haze effect many image processing algorithms were implemented
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Curto, Filipa Madeira Lopes Esteves. "Estimação da aversão ao risco através do cálculo da função densidade de probabilidade subjetiva para o caso das opções do petróleo." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20856.

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Mestrado em Mathematical Finance<br>O petróleo simboliza uma das mais importantes commodities trocadas mundialmente, apresentando-se como a fonte primária de produção de energia. Este pode ser trocado pelo seu spot price ou pelo recurso a contratos de derivados financeiros, sendo a troca de opções de petróleo um exemplo do segundo tipo de investimento. O estudo desta variável revela-se pertinente para compreender o seu comportamento e estimar previsões possíveis. Tal estudo pode ser conduzido através de uma função densidade de probabilidade. A análise da função densidade de probabilidade risk-
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Phillips, Michael James. "A random matrix model for two-colour QCD at non-zero quark density." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/5084.

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We solve a random matrix ensemble called the chiral Ginibre orthogonal ensemble, or chGinOE. This non-Hermitian ensemble has applications to modelling particular low-energy limits of two-colour quantum chromo-dynamics (QCD). In particular, the matrices model the Dirac operator for quarks in the presence of a gluon gauge field of fixed topology, with an arbitrary number of flavours of virtual quarks and a non-zero quark chemical potential. We derive the joint probability density function (JPDF) of eigenvalues for this ensemble for finite matrix size N, which we then write in a factorised form.
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Presles, Benoît. "Caractérisation géométrique et morphométrique 3-D par analyse d'image 2-D de distributions dynamiques de particules convexes anisotropes. Application aux processus de cristallisation." Thesis, Saint-Etienne, EMSE, 2011. http://www.theses.fr/2011EMSE0632/document.

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La cristallisation en solution est un procédé largement utilisé dans l'industrie comme opération de séparation et de purification qui a pour but de produire des solides avec des propriétés spécifiques. Les propriétés concernant la taille et la forme ont un impact considérable sur la qualité finale des produits. Il est donc primordial de pouvoir déterminer la distribution granulométrique (DG) des cristaux en formation. En utilisant une caméra in situ, il est possible de visualiser en temps réel les projections 2D des particules 3D présentes dans la suspension. La projection d'un objet 3D sur un
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Silase, Geletu Biruk. "Modeling the Behavior of an Electronically Switchable Directional Antenna for Wireless Sensor Networks." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3026.

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Reducing power consumption is among the top concerns in Wireless Sensor Networks, as the lifetime of a Wireless Sensor Network depends on its power consumption. Directional antennas help achieve this goal contrary to the commonly used omnidirectional antennas that radiate electromagnetic power equally in all directions, by concentrating the radiated electromagnetic power only in particular directions. This enables increased communication range at no additional energy cost and reduces contention on the wireless medium. The SPIDA (SICS Parasitic Interference Directional Antenna) prototype is one
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34

Fall, Abdoulaye. "Contribution à l'étude du micromélange en écoulement turbulent au voisinage de sources pariétale et ponctuelle. Application au cas réactif." Rouen, 1997. http://www.theses.fr/1997ROUES037.

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Le travail effectué a été principalement consacré au problème de la modélisation du taux moyen de dissipation des fluctuations d'un scalaire, grandeur représentative du phénomène de micromélange. Après une analyse de différentes approches et modélisations permettant d'accéder à la dissipation des fluctuations d'un scalaire, une étude de modèles dans des configurations de source pariétale étendue et de source ponctuelle en milieu non-homogène a été entreprise. Par ailleurs, un nouveau modèle de dissipation des fluctuations d'un scalaire, tiré d'une équation de type Karman-Howarth, a été proposé
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35

Wall, Martinez Hiram Alejandro. "Evaluation probabiliste du risque lié à l'exposition à des aflatoxines et des fumonisines dû à la consommation de tortillas de maïs à la ville de Veracruz." Thesis, Brest, 2016. http://www.theses.fr/2016BRES0068/document.

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Un des dangers chimiques les plus importants relevés par l'OMS concerne la contamination des céréales par les mycotoxines et notamment les aflatoxines et les fumonisines. La réglementation recommande des contaminations maximales d'aflatoxines dans les céréales inférieures à 20 mg/kg ; cependant on relève couramment des taux supérieurs à 200 mg/kg dans le maïs au Mexique. Bien qu'il ait été évalué que le processus de nixtamalisation détruit plus de 90 % des fumonisines et de 80 à 95 % des aflatoxines, le taux résiduel peut encore être élevé : certaines publications rapportent des concentrations
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36

Ericok, Ozlen. "Uncertainty Assessment In Reserv Estimation Of A Naturally Fractured Reservoir." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605713/index.pdf.

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ABSTRACT UNCERTAINTY ASSESSMENT IN RESERVE ESTIMATION OF A NATURALLY FRACTURED RESERVOIR ERI&Ccedil<br>OK, &Ouml<br>zlen M.S., Department of Petroleum and Natural Gas Engineering Supervisor : Prof. Dr. Fevzi G&Uuml<br>MRAH December 2004, 169 pages Reservoir performance prediction and reserve estimation depend on various petrophysical parameters which have uncertainties due to available technology. For a proper and economical field development, these parameters must be determined by taking into consideration their uncertainty level and probable data ranges. For implementing uncertainty assessme
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Hasan, Abeer. "A Study of non-central Skew t Distributions and their Applications in Data Analysis and Change Point Detection." Bowling Green State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1371055538.

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Shahraeeni, Mohammad Sadegh. "Inversion of seismic attributes for petrophysical parameters and rock facies." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/4754.

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Prediction of rock and fluid properties such as porosity, clay content, and water saturation is essential for exploration and development of hydrocarbon reservoirs. Rock and fluid property maps obtained from such predictions can be used for optimal selection of well locations for reservoir development and production enhancement. Seismic data are usually the only source of information available throughout a field that can be used to predict the 3D distribution of properties with appropriate spatial resolution. The main challenge in inferring properties from seismic data is the ambiguous nature
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Falcone, Jessica Dominique. "Validation of high density electrode arrays for cochlear implants: a computational and structural approach." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39563.

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Creating high resolution, or high-density, electrode arrays may be the key for improving cochlear implant users' speech perception in noise, comprehension of lexical languages, and music appreciation. Contemporary electrode arrays use multipolar stimulation techniques such as current steering (shifting the spread of neural excitation in between two physical electrodes) and current focusing (narrowing of the neural spread of excitation) to increase resolution and more specifically target the neural population. Another approach to increasing resolution incorporates microelectromechanical systems
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Van, der Walt Christiaan Maarten. "Maximum-likelihood kernel density estimation in high-dimensional feature spaces /| C.M. van der Walt." Thesis, North-West University, 2014. http://hdl.handle.net/10394/10635.

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With the advent of the internet and advances in computing power, the collection of very large high-dimensional datasets has become feasible { understanding and modelling high-dimensional data has thus become a crucial activity, especially in the field of pattern recognition. Since non-parametric density estimators are data-driven and do not require or impose a pre-defined probability density function on data, they are very powerful tools for probabilistic data modelling and analysis. Conventional non-parametric density estimation methods, however, originated from the field of statistics and we
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Денисов, Станіслав Іванович, Станислав Иванович Денисов, Stanislav Ivanovych Denysov, V. V. Reva, and O. O. Bondar. "Generalized Fokker-Planck Equation for the Nanoparticle Magnetic Moment Driven by Poisson White Noise." Thesis, Sumy State University, 2012. http://essuir.sumdu.edu.ua/handle/123456789/35373.

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We derive the generalized Fokker-Planck equation for the probability density function of the nanoparticle magnetic moment driven by Poisson white noise. Our approach is based on the reduced stochastic Landau-Lifshitz equation in which this noise is included into the effective magnetic field. We take into account that the magnetic moment under the noise action can change its direction instantaneously and show that the generalized equation has an integro-differential form. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/35373
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Mahmood, Khalid. "Constrained linear and non-linear adaptive equalization techniques for MIMO-CDMA systems." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/10203.

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Researchers have shown that by combining multiple input multiple output (MIMO) techniques with CDMA then higher gains in capacity, reliability and data transmission speed can be attained. But a major drawback of MIMO-CDMA systems is multiple access interference (MAI) which can reduce the capacity and increase the bit error rate (BER), so statistical analysis of MAI becomes a very important factor in the performance analysis of these systems. In this thesis, a detailed analysis of MAI is performed for binary phase-shift keying (BPSK) signals with random signature sequence in Raleigh fading envi
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43

Reveillon, Julien. "Simulation dynamique des grandes structures appliquée aux flammes turbulentes non-prémélangées." Rouen, 1996. http://www.theses.fr/1996ROUES071.

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Ce travail de thèse a été consacré à la simulation des grandes structures appliquée aux flammes turbulentes non-prémélangées. Après une étude bibliographique générale, le choix d'un modèle de sous-maille dynamique dont les paramètres s'ajustent automatiquement aux contraintes locales de l'écoulement a été effectue. La méthode de détermination des coefficients dynamiques a fait l'objet d'une attention particulière une formulation statistique, introduisant l'approche fonction densité de probabilité de sous-maille (SGPDF) a été proposée pour la modélisation de la combustion. Dans un premier temps
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44

Gasper, Rebecca Elizabeth. "Action potentials in the peripheral auditory nervous system : a novel PDE distribution model." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/1321.

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Auditory physiology is nearly unique in the human body because of its small-diameter neurons. When considering a single node on one neuron, the number of channels is very small, so ion fluxes exhibit randomness. Hodgkin and Huxley, in 1952, set forth a system of Ordinary Differential Equations (ODEs) to track the flow of ions in a squid motor neuron, based on a circuit analogy for electric current. This formalism for modeling is still in use today and is useful because coefficients can be directly measured. To measure auditory properties of Firing Efficiency (FE) and Post Stimulus Time (PST),
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45

Коломієць, Антон Ігорович. "Дослідження ядерного оцінювання щільності імовірності акустичних сигналів". Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/28339.

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Метою роботи є дослідження і аналіз ядерного оцінювання щільності імовірності акустичних сигналів. У роботі приведені основні відомості з теорії імовірності про випадкові величини та їх імовірнісні характеристики. Щільність імовірності дозволяє вирішувати задачі вимірювання випадкових процесів, здійснювати класифікацію сигналів, досліджувати функціональні перетворення та ін. Під час виконання було проведено ядерне оцінювання щільності імовірності згенерованих акустичних сигналів, використовуючи такі закони розподілу: нормальний закон розподілу, закон розподілу Стьюдента, закон розподілу Лапла
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Oliveira, Natália Lombardi de. "Distribuições preditiva e implícita para ativos financeiros." Universidade Federal de São Carlos, 2017. https://repositorio.ufscar.br/handle/ufscar/9077.

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Submitted by Alison Vanceto (alison-vanceto@hotmail.com) on 2017-08-28T13:57:07Z No. of bitstreams: 1 DissNLO.pdf: 2139734 bytes, checksum: 9d9000013e5ab1fd3e860be06fc72737 (MD5)<br>Approved for entry into archive by Ronildo Prado (ronisp@ufscar.br) on 2017-09-06T13:18:03Z (GMT) No. of bitstreams: 1 DissNLO.pdf: 2139734 bytes, checksum: 9d9000013e5ab1fd3e860be06fc72737 (MD5)<br>Approved for entry into archive by Ronildo Prado (ronisp@ufscar.br) on 2017-09-06T13:18:12Z (GMT) No. of bitstreams: 1 DissNLO.pdf: 2139734 bytes, checksum: 9d9000013e5ab1fd3e860be06fc72737 (MD5)<br>Made available i
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Alagbe, Solomon Oluyemi. "Experimental and numerical investigation of high viscosity oil-based multiphase flows." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/10495.

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Multiphase flows are of great interest to a large variety of industries because flows of two or more immiscible liquids are encountered in a diverse range of processes and equipment. However, the advent of high viscosity oil requires more investigations to enhance good design of transportation system and forestall its inherent production difficulties. Experimental and numerical studies were conducted on water-sand, oil-water and oilwater- sand respectively in 1-in ID 5m long horizontal pipe. The densities of CYL680 and CYL1000 oils employed are 917 and 916.2kg/m3 while their viscosities are 1.
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GAJJELA, VENKATA SARATH, and SURYA DEEPTHI DUPATI. "Mobile Application Development with Image Applications Using Xamarin." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15838.

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Image enhancement improves an image appearance by increasing dominance of some features or by decreasing ambiguity between different regions of the image. Image enhancement techniques have been widely used in many applications of image processing where the subjective quality of images is important for human interpretation. In many cases, the images have lack of clarity and have some effects on images due to fog, low light and other daylight effects exist. So, the images which have these scenarios should be enhanced and made clear to recognize the objects clearly. Histogram-based image enhancem
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Moore, Natalie. "The Effect of Receiver Nonlinearity and Nonlinearity Induced Interference on the Performance of Amplitude Modulated Signals." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/84899.

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All wireless receivers have some degree of nonlinearity that can negatively impact performance. Two major effects from this nonlinearity are power compression, which leads to amplitude and phase distortions in the received signal, and desensitization caused by a high powered interfering signal at an adjacent channel. As the RF spectrum becomes more crowded, the interference caused by these adjacent signals will become a more significant problem for receiver design. Therefore, having bit and symbol error rate expressions that take the receiver nonlinearity into account will allow for determinin
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Oliveira, Natália Lombardi de. "Distribuição preditiva do preço de um ativo financeiro: abordagens via modelo de série de tempo Bayesiano e densidade implícita de Black & Scholes." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/104/104131/tde-13092017-083037/.

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Apresentamos duas abordagens para obter uma densidade de probabilidades para o preço futuro de um ativo: uma densidade preditiva, baseada em um modelo Bayesiano para série de tempo e uma densidade implícita, baseada na fórmula de precificação de opções de Black & Scholes. Considerando o modelo de Black & Scholes, derivamos as condições necessárias para obter a densidade implícita do preço do ativo na data de vencimento. Baseando-­se nas densidades de previsão, comparamos o modelo implícito com a abordagem histórica do modelo Bayesiano. A partir destas densidades, calculamos probabilidades de o
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