Relevant bibliographies by topics / Model correction

Academic literature on the topic 'Model correction'

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Published: 4 June 2021
Last updated: 25 January 2023

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Journal articles on the topic "Model correction"

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Sjögren, David. "Kärleksfullt tilltal, kvarsittning eller kroppsaga: En modellgenererande undersökning om korrektionsmedel i 1800-talets folkskolereglementen." Nordic Journal of Educational History 5, no. 2 (December 17, 2018): 37–66. http://dx.doi.org/10.36368/njedh.v5i2.117.

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Compassionate Corrections, Detention or Corporal Punishment: A Model-Generating Study on Correctional Methods in Nineteenth Century Comprehensive School BylawsThis article aims to develop a systematising model to analyse correction and punishment in the nineteenth century elementary school in Sweden. The model is used to identify and compare the different forms of correction, to systematise mutual relationships between milder corrections and more harsh punishments, and to find patterns between faults and correction. The model is also used to systematically identify how expressions about correction and punishment change over time. The model is developed on the basis of normative material, which regulated how to maintain order in classrooms.
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Allerup, P., and H. Madsen. "On the Correction of Liquid Precipitation." Hydrology Research 17, no. 4-5 (August 1, 1986): 237–50. http://dx.doi.org/10.2166/nh.1986.0016.

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The paper discusses a bi-linear statistical model for correcting aerodynamic errors, earlier presented by Allerup and Madsen, 1980. Further data from Finland, USA and Australia testing the model will be presented. A simplification of the bi-linear model in order to cover different gauge types and varying measuring levels will be demonstrated. The simplification will extend the applicability of the correction model when implemented into automatic correction systems. The paper will discuss the problems of fit by the simplified model and attention will be given to physical interpretation of the mathematical structure in the model. Besides aerodynamic errors, wetting losses influence the correction values. It will be demonstrated how these effects cause too large corrections for small amounts of precipitation and too small corrections for large amounts.
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Hoang, Tuan G., Peter Behrenbruch, and Phil Do Huu. "Correction of laboratory gas permeability measurements using Klinkenberg-type correction models." APPEA Journal 57, no. 1 (2017): 171. http://dx.doi.org/10.1071/aj16064.

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Routine laboratory permeability measurements require both overburden correction and in the case of lower permeability gas measurements also Klinkenberg-type correction, accounting for slippage of gas when flowing through a porous medium. These corrections are necessary for obtaining representative permeability values for dynamic simulation. The objective of this paper is to determine the most suitable technique for determining representative, equivalent reservoir permeability. Laboratory permeability is routinely measured using different types of gases, most often helium and air, less often liquid. Single phase permeability measurements should be independent of the measuring fluid. However, laboratory permeability measurements using gas tend to overestimate sample permeability due to gas slippage. This effect was first reported by Klinkenberg (1941). Influencing factors are type of gas, mean experimental pressure and rock properties. The so called ‘Square-root model’ (Florence et al. 2007) accounts for all of these factors and is an extension of Klinkenberg’s original equation. The applicability of the Square-root model and earlier Klinkenberg-type models of Jones and Owens (1979) and Sampath and Keighin (1981) for correcting single-point laboratory gas permeability measurements are investigated on a comparative basis. Furthermore, Klinkenberg-type corrections are best made after overburden correction. The study presented involves a parametric approach of the gas slippage influencing factors, in addition to a comparison of alternative formulations. In comparing various Klinkenberg-type corrections, it is shown that the Square-root model compares most favourably and is most suitable for correcting laboratory data in the absence of specific measurements, as validated by comparison with laboratory deduced measurements. Datasets from the Asia-Pacific region and elsewhere are used to exemplify the methodology.
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Pozdnyakov, Yuri, Zoryana Skybinska, Tetiana Gryniv, Igor Britchenko, Peter Losonczi, Olena Magopets, Oleksandr Skybinskyi, and Nataliya Hryniv. "Comparative analysis of models for adjustment procedure in assets value independent evaluation performed by comparative approach." Eastern-European Journal of Enterprise Technologies 6, no. 13 (114) (December 28, 2021): 80–93. http://dx.doi.org/10.15587/1729-4061.2021.248011.

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This paper addresses the field of economic measurements of the value of assets, carried out by the methods of independent expert evaluation. The mathematical principles of application, within a comparative methodical approach, of additive and multiplicative models for correcting the cost of single indicator of compared objects have been considered. The differences of mathematical basis of the compared models were analyzed. It has been shown that the ambiguity in the methodology of correction procedure requires studying the advantages and disadvantages of known models, as well as the justification and elaboration of recommendations for their application. Possible forms of correction representation using several alternative units of measurement have been defined; formulas for their interconnection have been built. Analytic expressions have been derived that mathematically describe the algorithms for performing the evaluation correction procedure using various forms of correction representation. The influence of the correction execution model on the characteristics of uncertainty in the independent evaluation result has been analyzed. The scope of two possible types of correction introduction models has been determined. A specific numerical example was used to demonstrate the methodological advantages of using a multiplicative model when summarizing percentage corrections. The independence of the correction result on the sequence of correction introduction has been confirmed. It is proposed to use the selected measure of partial corrections as a criterion for the adequacy of the correction introduction model. It is proved that the result of the independent expert evaluation depends on the chosen model and does not depend on the sequence of correction introduction. The reported study results are important in terms of theory and practice since they make it possible to improve the accuracy and reliability of the result of independent expert evaluation.
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Heineck, Jan, Alexandre Serra, Cornelius Haupt, and Stefan Rammelt. "Accuracy of Corrective Osteotomies in Fibular Malunion: A Cadaver Model." Foot & Ankle International 30, no. 8 (August 2009): 773–77. http://dx.doi.org/10.3113/fai.2009.0773.

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Background: While incorrect length of a fibular fracture reduction can be measured by plain radiographs, accurate imaging of rotational deformities requires computed tomography (CT). Operative correction of fibular malrotation has not been accurately measured. The aim of this study was to evaluate the accuracy of operative correction of fibular malrotation. Materials and Methods: Six pairs of formalin-fixed, lower leg cadaver specimens had shortening with additional internal or external rotation induced by segmental fibular resection and plate fixation. The deformity was measured by CT. Two experienced surgeons performed standardized corrective operations on six specimens each. The postoperative results were measured by CT. Results: The mean overall accuracy for correction of malrotation was 1.58 degrees (SD = 0.8 degrees). There were no significant differences between the two surgeons performing the corrections. Conclusion: The accuracy of operative correction of malrotation in this cadaver model is in accordance with the requirements reported in clinical studies. Clinical Relevance: Considering the error margin for CT analysis, correction within 5 to 10 degrees seems practical.
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van Giersbergen, Noud P. A. "BARTLETT CORRECTION IN THE STABLE AR(1) MODEL WITH INTERCEPT AND TREND." Econometric Theory 25, no. 3 (June 2009): 857–72. http://dx.doi.org/10.1017/s0266466609090690.

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Bartlett corrections are derived for testing hypotheses about the autoregressive parameter ρ in the stable (a) AR(1) model, (b) AR(1) model with intercept, (c) AR(1) model with intercept and linear trend. The correction is found explicitly as a function of ρ. In the models with deterministic terms, the correction factor is asymmetric in ρ. Furthermore, the Bartlett correction is monotonically increasing in ρ and tends to infinity when ρ approaches the stability boundary of + 1. Simulation results indicate that the Bartlett corrections are useful in controlling the size of the likelihood ratio statistic in small samples, although these corrections are not the ultimate panacea.
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DelSole, Timothy, Mei Zhao, Paul A. Dirmeyer, and Ben P. Kirtman. "Empirical Correction of a Coupled Land–Atmosphere Model." Monthly Weather Review 136, no. 11 (November 1, 2008): 4063–76. http://dx.doi.org/10.1175/2008mwr2344.1.

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Abstract This paper investigates empirical strategies for correcting the bias of a coupled land–atmosphere model and tests the hypothesis that a bias correction can improve the skill of such models. The correction strategies investigated include 1) relaxation methods, 2) nudging based on long-term biases, and 3) nudging based on tendency errors. The last method involves estimating the tendency errors of prognostic variables based on short forecasts—say lead times of 24 h or less—and then subtracting the climatological mean value of the tendency errors at every time step. By almost any measure, the best correction strategy is found to be nudging based on tendency errors. This method significantly reduces biases in the long-term forecasts of temperature and soil moisture, and preserves the variance of the forecast field, unlike relaxation methods. Tendency errors estimated from ten 1-day forecasts produced just as effective corrections as tendency errors estimated from all days in a month, implying that the method is trivial to implement by modern standards. Disappointingly, none of the methods investigated consistently improved the random error variance of the model, although this finding may be model dependent. Nevertheless, the empirical correction method is argued to be worthwhile even if it improves only the bias, because the method has only marginal impacts on the numerical speed and represents forecast error in the form of a tendency error that can be compared directly to other terms in the tendency equations, which in turn provides clues as to the source of the forecast error.
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Hoque, Mohammed Mainul, Norbert Jakowski, and Jens Berdermann. "Positioning performance of the NTCM model driven by GPS Klobuchar model parameters." Journal of Space Weather and Space Climate 8 (2018): A20. http://dx.doi.org/10.1051/swsc/2018009.

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Users of the Global Positioning System (GPS) utilize the Ionospheric Correction Algorithm (ICA) also known as Klobuchar model for correcting ionospheric signal delay or range error. Recently, we developed an ionosphere correction algorithm called NTCM-Klobpar model for single frequency GNSS applications. The model is driven by a parameter computed from GPS Klobuchar model and consecutively can be used instead of the GPS Klobuchar model for ionospheric corrections. In the presented work we compare the positioning solutions obtained using NTCM-Klobpar with those using the Klobuchar model. Our investigation using worldwide ground GPS data from a quiet and a perturbed ionospheric and geomagnetic activity period of 17 days each shows that the 24-hour prediction performance of the NTCM-Klobpar is better than the GPS Klobuchar model in global average. The root mean squared deviation of the 3D position errors are found to be about 0.24 and 0.45 m less for the NTCM-Klobpar compared to the GPS Klobuchar model during quiet and perturbed condition, respectively. The presented algorithm has the potential to continuously improve the accuracy of GPS single frequency mass market devices with only little software modification.
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Moga, Nikolay. "Working model of a physical education based spastic movement disorder correction system aimed at tender age children." International Journal of Pedagogy, Innovation and New Technologies 6, no. 2 (December 30, 2019): 123–32. http://dx.doi.org/10.5604/01.3001.0013.6849.

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The article describes modern modeling of physical rehabilitation processes for persons with musculoskeletal system disorders, and reveals a significant deficiency of this aspect in modern rehabilitation systems. Most of the developments in this field are based on practical, empirical experience of rehabilitation activities for a specific category of children. This is understandable but does not prevent mistakes in the strategy and tactics of long-term physical rehabilitation. It is necessary to have clear conceptual guidelines for the most effective process of physical rehabilitation concerning tender age children with spastic movement disorders. This can be achieved by pre-modeling the system of adaptive physical education of babies with spastic paresis. A structured and logically constructed model construction of the rehabilitation system includes four effective blocks: monitoring of physical development and spastic motor disorders (I), which is itself divided into medical, pedagogical, psychological; corrective measures (II) strategies and tactics, including a general correction program for the typological subgroup of children with spastic paresis and an individual correction program for normalizing the motor status of a particular child; correction of motor disorders of spastic type (III), which provides the means and methods of correctional physical education of tender age children with spastic motor disorders. The latter include: game, hypercorrection, contraindications, sufficient repetition of exercises, objectivity, and individual load differentiation; control and correction of the correction process (IV), which provides for permanent control over the components of the motor rehabilitation system, starting with the monitoring of physical development and ending with the peculiarities of the work correction process by means of physical education. Intra-system relations between all components of the working model are envisaged, and the priority of individual components of a perspective modeled system is considered. The model provides an invariant component of the system of adaptive physical education, universal for different children with spastic syndrome, as well as a variational component, which provides differentiation and individualization of corrective tactics for each specific child and its peculiarities of psychophysical development. The pre-designed working model of the correction system of movement disorders spastic forms of tender age children by physical education means will be tested in the process of forming a pedagogical experiment, which will make the necessary corrections both in the structural construction of this general rehabilitation system and in the substantive filling of its internal components.
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Danforth, Christopher M., Eugenia Kalnay, and Takemasa Miyoshi. "Estimating and Correcting Global Weather Model Error." Monthly Weather Review 135, no. 2 (February 1, 2007): 281–99. http://dx.doi.org/10.1175/mwr3289.1.

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Abstract The purpose of the present study is to explore the feasibility of estimating and correcting systematic model errors using a simple and efficient procedure, inspired by papers by Leith as well as DelSole and Hou, that could be applied operationally, and to compare the impact of correcting the model integration with statistical corrections performed a posteriori. An elementary data assimilation scheme (Newtonian relaxation) is used to compare two simple but realistic global models, one quasigeostrophic and one based on the primitive equations, to the NCEP reanalysis (approximating the real atmosphere). The 6-h analysis corrections are separated into the model bias (obtained by time averaging the errors over several years), the periodic (seasonal and diurnal) component of the errors, and the nonperiodic errors. An estimate of the systematic component of the nonperiodic errors linearly dependent on the anomalous state is generated. Forecasts corrected during model integration with a seasonally dependent estimate of the bias remain useful longer than forecasts corrected a posteriori. The diurnal correction (based on the leading EOFs of the analysis corrections) is also successful. State-dependent corrections using the full-dimensional Leith scheme and several years of training actually make the forecasts worse due to sampling errors in the estimation of the covariance. A sparse approximation of the Leith covariance is derived using univariate and spatially localized covariances. The sparse Leith covariance results in small regional improvements, but is still computationally prohibitive. Finally, singular value decomposition is used to obtain the coupled components of the correction and forecast anomalies during the training period. The corresponding heterogeneous correlation maps are used to estimate and correct by regression the state-dependent errors during the model integration. Although the global impact of this computationally efficient method is small, it succeeds in reducing state-dependent model systematic errors in regions where they are large. The method requires only a time series of analysis corrections to estimate the error covariance and uses negligible additional computation during a forecast. As a result, it should be suitable for operational use at relatively small computational expense.
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Dissertations / Theses on the topic "Model correction"

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Bäckström, Fredrik, and Anders Ivarsson. "Meta-Model Guided Error Correction for UML Models." Thesis, Linköping University, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8746.

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Modeling is a complex process which is quite hard to do in a structured and controlled way. Many companies provide a set of guidelines for model structure, naming conventions and other modeling rules. Using meta-models to describe these guidelines makes it possible to check whether an UML model follows the guidelines or not. Providing this error checking of UML models is only one step on the way to making modeling software an even more valuable and powerful tool.

Moreover, by providing correction suggestions and automatic correction of these errors, we try to give the modeler as much help as possible in creating correct UML models. Since the area of model correction based on meta-models has not been researched earlier, we have taken an explorative approach.

The aim of the project is to create an extension of the program MetaModelAgent, by Objektfabriken, which is a meta-modeling plug-in for IBM Rational Software Architect. The thesis shows that error correction of UML models based on meta-models is a possible way to provide automatic checking of modeling guidelines. The developed prototype is able to give correction suggestions and automatic correction for many types of errors that can occur in a model.

The results imply that meta-model guided error correction techniques should be further researched and developed to enhance the functionality of existing modeling software.

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Kokkola, N. "A double-error correction computational model of learning." Thesis, City, University of London, 2017. http://openaccess.city.ac.uk/18838/.

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In this thesis, the Double Error model, a general computational model of real-time learning is presented. It builds upon previous real-time error-correction models and assumes that associative connections form not only between stimuli and reinforcers, but between all types of stimuli in a connectionist network. The stimulus representation uses temporally-distributed elements with memory traces, and a process of expectation-based attentional modulation for both reinforcers and non-reinforcing stimuli is introduced. A modified error-correction learning rule is proposed, which incorporates both an error-term for the predicted and predicting stimulus. The static asymptote of learning familiar from other models of learning is replaced by a similarity measure between the activities of said stimuli, resulting in more temporally correlated stimulus representations forming stronger associative links. Associative retrieval based on previously formed associative links result in the model predicting mediated learning and pre-exposure effects. As a general model of learning, it accounts for phenomena predicted by extant learning models. For instance, its usage of error-correction learning produces a natural account of cue-competition effects such as blocking and overshadowing. Its elemental framework, which incorporates overlapping sets of elements to represent stimuli, leads to it predicting non-linear discriminations including biconditional discriminations and negative patterning. The observation that adding a cue to an excitatory compound stimulus leads to a lower generalization decrement as compared to removing a cue from said compound also follows from this representational assumption. The model further makes a number of unique predictions. The apparent contradiction of mediated learning in backward blocking and mediated conditioning proceeding in opposite directions is predicted through the model’s dynamic asymptote. Latent inhibition is accounted for as occurring through both learning and selective attention. The selective attention of the model likewise produces emergent effects when instantiated in the real-time dynamics of the model, predicting that the relatively best predictor of an outcome can sustain the largest amount of attention when compared to poorer predictors of said outcome. The model is evaluated theoretically, through simulations of learning experiments, and mathematically to demonstrate its generality and formal validity. Further, a simplified version of the model is contrasted against other models on a simple artificial classification task, showcasing the power of the fully-connected nature of the model, as well as its second error term in enabling the model’s performance as a classifier. Finally, numerous avenues of future work have been explored. I have completed a proof-of-concept deep recurrent network extension of the model, instantiated with reference to machine learning theory, and applied the second error term of the model to modulating backpropagation in time of a vanilla RNN. Both the former and latter were applied to a natural language processing task.
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Bulygina, Nataliya. "Model Structure Estimation and Correction Through Data Assimilation." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/195345.

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The main philosophy underlying this research is that a model should constitute a representation of both what we know and what we do not know about the structure and behavior of a system. In other words it should summarize, as far as possible, both our degree of certainty and degree of uncertainty, so that it facilitates statements about prediction uncertainty arising from model structural uncertainty. Based on this philosophy, the following issues were explored in the dissertation: Identification of a hydrologic system model based on assumption about perceptual and conceptual models structure only, without strong additional assumptions about its mathematical structure Development of a novel data assimilation method for extraction of mathematical relationships between modeled variables using a Bayesian probabilistic framework as an alternative to up-scaling of governing equations Evaluation of the uncertainty in predicted system response arising from three uncertainty types: o uncertainty caused by initial conditions, o uncertainty caused by inputs, o uncertainty caused by mathematical structure Merging of theory and data to identify a system as an alternative to parameter calibration and state-updating approaches Possibility of correcting existing models and including descriptions of uncertainty about their mapping relationships using the proposed method Investigation of a simple hydrological conceptual mass balance model with two-dimensional input, one-dimensional state and two-dimensional output at watershed scale and different temporal scales using the method
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Hu, Zhongbo. "Atmospheric artifacts correction for InSAR using empirical model and numerical weather prediction models." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/668264.

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lnSAR has been proved its unprecedented ability and merits of monitoring ground deformation on large scale with centimeter to millimeter scale accuracy. However, several factors affect the reliability and accuracy of its applications. Among them, atmospheric artifacts due to spatial and temporal variations of atmosphere state often pose noise to interferograms. Therefore, atmospheric artifacts m itigalion remains one of the biggest challenges to be addressed in the In SAR community. State-of-the-art research works have revealed atmospheric artifacts can be partially compensated with empirical models, temporal-spatial filtering approach in lnSAR time series, pointwise GPS zenith path delay and numerical weather prediction models. In this thesis, firstly, we further develop a covariance weighted linear empirical model correction method. Secondly, a realistic LOS direction integration approach based on global reanalysis data is employed and comprehensively compared with the conventional method that integrates along zenith direction. Finally, the realistic integration method is applied to local WRF numerical forecast model data. l'vbreover, detailed comparisons between different global reanalysis data and local WRF model are assessed. In terms of empirical models correcting methods, many publications have studied correcting stratified tropospheric phase delay by assuming a linear model between them and topography. However, most of these studies ha\19 not considered the effect of turbulent atmospheric artefacts when adjusting the linear model to data. In this thesis, an improved technique that minimizes the influence of turbulent atmosphere in the model adjustment has been presented. In the proposed algorithm, the model is adjusted to the phase differences of pixels instead of using the unwrapped phase of each pixel. In addition, the different phase differences are weighted as a function of its APS covariance estimated from an empirical variogram to reduce in the model adjustment the impact of pixel pairs with significant turbulent atmosphere. The performance of the proposed method has been validated with both simulated and real Sentinel-1 SAR data in Tenerife island, Spain. Considering methods using meteorological observations to mitigate APS, an accurate realistic com puling strategy utilizing global atmospheric reanalysis data has been implemented. With the approach, the realistic LOS path along satellite and the monitored points is considered, rather than converting from zenith path delay. Com pared with zenith delay based method, the biggest advantage is that it can avoid errors caused by anisotropic atmospheric behaviour. The accurate integration method is validated with Sentinel-1 data in three test sites: Tenerife island, Spain, Almeria, Spain and Crete island, Greece. Compared to conventional zenith method, the realistic integration method shows great improvement. A variety of global reanalysis data are available from different weather forecasting organizations, such as ERA-Interim, ERAS, MERRA2. In this study, the realistic integration mitigation method is assessed on these different reanalysis data. The results show that these data are feasible to mitigate APS to some extent in most cases. The assessment also demonstrates that the ERAS performs the best statistically, compared to other global reanalysis data. l'vbreover, as local numerical weather forecast models have the ability to predict high spatial resolution atmospheric parameters, by using which, it has the potential to achieve APS mitigation. In this thesis, the realistic integration method is also employed on the local WRF model data in Tenerife and Almeria test s ites. However, it turns out that the WRF model performs worse than the original global reanalysis data.
Las técnicas lnSAR han demostrado su capacidad sin precedentes y méritos para el monitoreo de la deformaci6n del suelo a gran escala con una precisión centimétrica o incluso milimétrica. Sin embargo, varios factores afectan la fiabilidad y precisión de sus aplicaciones. Entre ellos, los artefactos atmosféricos debidos a variaciones espaciales y temporales del estado de la atm6sfera a menudo añaden ruido a los interferogramas. Por lo tanto, la mitigación de los artefactos atmosféricos sigue siendo uno de los mayores desafíos a abordar en la comunidad lnSAR. Los trabajos de investigaci6n de vanguardia han revelado que los artefactos atmosféricos se pueden compensar parcialmente con modelos empíricos, enfoque de filtrado temporal-espacial en series temporales lnSAR, retardo puntual del camino cenital con GPS y modelos numéricos de predicción meteorológica. En esta tesis, en primer lugar, desarrollamos un método de corrección de modelo empírico lineal ponderado por covarianza. En segundo lugar, se emplea un enfoque realista de integracion de dirección LOS basado en datos de reanálisis global y se compara exhaustivamente con el método convencional que se integra a lo largo de la dirección cenital. Finalmente, el método de integraci6n realista se aplica a los datos del modelo de pronóstico numérico WRF local. Ademas, se evalúan las comparaciones detalladas entre diferentes datos de reanálisis global y el modelo WRF local. En términos de métodos de corrección con modelos empíricos, muchas publicaciones han estudiado la corrección del retraso estratificado de la fase troposférica asumiendo un modelo lineal entre ellos y la topografía. Sin embargo, la mayoría de estos estudios no han considerado el efecto de los artefactos atmosféricos turbulentos al ajustar el modelo lineal a los datos. En esta tesis, se ha presentado una técnica mejorada que minimiza la influencia de la atm6sfera turbulenta en el ajuste del modelo. En el algoritmo propuesto, el modelo se ajusta a las diferencias de fase de los pixeles en lugar de utilizar la fase sin desenrollar de cada pixel. Además, las diferentes diferencias de fase se ponderan en función de su covarianza APS estimada a partir de un variograma empírico para reducir en el ajuste del modelo el impacto de los pares de pixeles con una atm6sfera turbulenta significativa. El rendimiento del método propuesto ha sido validado con datos SAR Sentinel-1 simulados y reales en la isla de Tenerife, España. Teniendo en cuenta los métodos que utilizan observaciones meteorológicas para mitigar APS, se ha implementado una estrategia de computación realista y precisa que utiliza datos de reanálisis atmosférico global. Con el enfoque, se considera el camino realista de LOS a lo largo del satélite y los puntos monitoreados, en lugar de convertirlos desde el retardo de la ruta cenital. En comparación con el método basado en la demora cenital, la mayor ventaja es que puede evitar errores causados por el comportamiento atmosférico anisotrópico. El método de integración preciso se valida con los datos de Sentinel-1 en tres sitios de prueba: la isla de Tenerife, España, Almería, España y la isla de Creta, Grecia. En comparación con el método cenital convencional, el método de integración realista muestra una gran mejora.
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Pointoin, Barry William. "Model-based randoms correction for 3D positron emission tomography." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31046.

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Random coincidences (randoms) are frequently a major source of image degradation and quantitative inaccuracies in positron emission tomography. Randoms occurring in the true coincidence window are commonly corrected for by subtracting the randoms measured in a delayed coincidence window. This requires additional processing demands on the tomograph and increases the noise in the corrected data. A less noisy randoms estimate may be obtained by measuring individual detector singles rates, but few tomographs have this capability. This work describes a new randoms correction method that uses the singles rates from an analytic calculation, rather than measurements. This is a logical and novel extension of the model-based methods presently used for scatter correction. The singles calculation uses a set of sample points randomly generated within the preliminary reconstructed radioactivity image. The contribution of the activity at each point to the singles rate in every detector is calculated using a single photon detection model, producing an estimate o f the singles distribution. This is scaled to the measured global singles rate and used to calculate the randoms distribution which is subtracted from the measured image data. This method was tested for a MicroPET R4 tomograph. Measured and calculated randoms distributions were compared using count profiles and quantitative figures of merit for a set of phantom and animal studies. Reconstructed images, corrected with measured and calculated randoms, were also analysed. The calculation reproduced the measured randoms rates to within ≤ 1.4% for all realistic studies. The calculated randoms distributions showed excellent agreement with the measured, except that the calculated sinograms were smooth. Images corrected with both methods showed no significant differences due to biases. However, in the situations tested, no significant difference in the noise level o f the reconstructed images was detected due to the low randoms fractions of the acquired data. The model-based method of randoms correction uses only the measured image data and the global singles rate to produce smooth and accurate random distributions and therefore has much lower demands on the tomograph than other techniques. It is also expected to contribute to noise reduction in situations involving high randoms fraction.
Science, Faculty of
Physics and Astronomy, Department of
Graduate
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Molin, Simon. "House Price Dynamics in Sweden : Vector error-correction model." Thesis, Umeå universitet, Nationalekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172367.

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Movements in house prices can have effects on individuals, financial markets, and the whole economy. After the rapid increase in house prices worldwide since the mid-1990s and after the financial crisis in 2008, many studies have investigated house price dynamics. Furthermore, real house prices in Sweden have increased by more than 200 % since the mid-1990s up until today. This study takes a closer look at the fundamental determinants of house prices to investigate both the long- and short-run dynamics of Swedish house prices. The method of use includes a vector error-correction model, which exposes both long- and short-run dynamics of house prices. The long-run results show that Swedish house prices are currently not overvalued. Furthermore, in the short-run, the results suggest that house prices adjust to their equilibrium level with 7,9 % in each quarter.
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Zechman, Emily Michelle. "Improving Predictability of Simulation Models using Evolutionary Computation-Based Methods for Model Error Correction." NCSU, 2005. http://www.lib.ncsu.edu/theses/available/etd-08082005-105133/.

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Simulation models are important tools for managing water resources systems. An optimization method coupled with a simulation model can be used to identify effective decisions to efficiently manage a system. The value of a model in decision-making is degraded when that model is not able to accurately predict system response for new management decisions. Typically, calibration is used to improve the predictability of models to match more closely the system observations. Calibration is limited as it can only correct parameter error in a model. Models may also contain structural errors that arise from mis-specification of model equations. This research develops and presents a new model error correction procedure (MECP) to improve the predictive capabilities of a simulation model. MECP is able to simultaneously correct parameter error and structural error through the identification of suitable parameter values and a function to correct misspecifications in model equations. An evolutionary computation (EC)-based implementation of MECP builds upon and extends existing evolutionary algorithms to simultaneously conduct numeric and symbolic searches for the parameter values and the function, respectively. Non-uniqueness is an inherent issue in such system identification problems. One approach for addressing non-uniqueness is through the generation of a set of alternative solutions. EC-based techniques to generate alternative solutions for numeric and symbolic search problems are not readily available. New EC-based methods to generate alternatives for numeric and symbolic search problems are developed and investigated in this research. The alternatives generation procedures are then coupled with the model error correction procedure to improve the predictive capability of simulation models and to address the non-uniqueness issue. The methods developed in this research are tested and demonstrated for an array of illustrative applications.
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Kurachi, Masafumi, Robert Shrock, and Koichi Yamawaki. "Z boson propagator correction in technicolor theories with extended technicolor effects included." American Physical Society, 2007. http://hdl.handle.net/2237/11301.

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Maurer, Dustin. "Comparison of background correction in tiling arrays and a spatial model." Kansas State University, 2011. http://hdl.handle.net/2097/12130.

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Master of Science
Department of Statistics
Susan J. Brown
Haiyan Wang
DNA hybridization microarray technologies have made it possible to gain an unbiased perspective of whole genome transcriptional activity on such a scale that is increasing more and more rapidly by the day. However, due to biologically irrelevant bias introduced by the experimental process and the machinery involved, correction methods are needed to restore the data to its true biologically meaningful state. Therefore, it is important that the algorithms developed to remove any sort of technical biases are accurate and robust. This report explores the concept of background correction in microarrays by using a real data set of five replicates of whole genome tiling arrays hybridized with genetic material from Tribolium castaneum. It reviews the literature surrounding such correction techniques and explores some of the more traditional methods through implementation on the data set. Finally, it introduces an alternative approach, implements it, and compares it to the traditional approaches for the correction of such errors.
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Leach, Mark Daniel. "A discrete, stochastic model and correction method for bacterial source tracking." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Spring2007/m_leach_050207.pdf.

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Books on the topic "Model correction"

1

Salmon, Mark H. Error correction models, co-intergration and the internal model principle. Coventry: University of Warwick, Dept. of Economics, 1988.

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Salmon, Mark H. Error correction models, co-integration and the internal model principle. Coventry: University of Warwick Department of Economics, 1987.

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Harnett, I. R. An error correction model of US consumption expenditure. London: Bank of England, 1988.

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Haslam, Jane. Model-based methods for medical image correction and interpretation. Manchester: University of Manchester, 1996.

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Thirtle, C. Testing the induced innovation hypothesis : an error correction model. Reading, England: University of Reading, Dept. of Economics, 1995.

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Anderson, Ray C. Mid-course correction: Toward a sustainable enterprise :The Interface model. White River Junction, VT: Chelsea Green, 2005.

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Mid-course Correction: Toward a Sustainable Enterprise: The Interface Model. Atlanta, USA: Peregrinzilla Press, 1998.

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Liu, Ying. Modelling mortgage rate changes with a smooth transition error-correction model. [Ottawa]: Bank of Canada, 2001.

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Santis, Roberto De. An error correction monetary model explaining the inflationary process in Turkey. Coventry: Warwick University, Department of Economics, 1993.

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Fund, International Monetary, ed. Determinants of growth in an error-correction model for El Salvador. Washington, D.C: International Monetary Fund, 1998.

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Book chapters on the topic "Model correction"

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Vanegas, Manuel, and Jorge Ridderstaat. "Error correction model." In Encyclopedia of Tourism, 311–12. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-01384-8_360.

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Guang, Xuan, and Zhen Zhang. "Network Error Correction Model." In Linear Network Error Correction Coding, 17–31. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0588-1_2.

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Vanegas, Manuel, and Jorge Ridderstaat. "Error correction model, tourism." In Encyclopedia of Tourism, 1–2. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-01669-6_360-1.

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Shankar, Saumya, Antoine Rollet, Srinivas Pinisetty, and Yliès Falcone. "Correction to: Bounded-Memory Runtime Enforcement." In Model Checking Software, C1. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15077-7_9.

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Hentschel, Klaus. "Correction to: Atomic Models, Nagaoka’s Saturnian Model." In Compendium of Quantum Physics, C1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-70626-7_243.

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Wirtz, Bernd W. "Correction to: Business Model Management." In Springer Texts in Business and Economics, C1—C2. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48017-2_22.

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Guang, Xuan, and Zhen Zhang. "Another Description of Linear Network Error Correction Model." In Linear Network Error Correction Coding, 33–50. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0588-1_3.

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Baringo, Luis, and Morteza Rahimiyan. "Correction to: Virtual Power Plant Model." In Virtual Power Plants and Electricity Markets, C1. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-47602-1_8.

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Peng, Rui, Yan-Fu Li, and Yu Liu. "General Order Statistics-Based Model." In Software Fault Detection and Correction: Modeling and Applications, 53–73. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1162-8_5.

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Chaturantabut, Saifon, Thomas Freeze, Elias Salomão Helou, and Charles H. Lee. "Correction to: Reduced-Order Methods in Medical Imaging." In Model Reduction of Complex Dynamical Systems, C1. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-72983-7_20.

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Conference papers on the topic "Model correction"

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Zuniga, Koldo, Thomas P. Schmitt, Herve Clement, and Joao Balaco. "Model Based Performance Correction Methodology — A Case Study." In ASME 2014 Power Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/power2014-32184.

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Correction curves are of great importance in the performance evaluation of heavy duty gas turbines (HDGT). They provide the means by which to translate performance test results from test conditions to the rated conditions. The correction factors are usually calculated using the original equipment manufacturer (OEM) gas turbine thermal model (a.k.a. cycle deck), varying one parameter at a time throughout a given range of interest. For some parameters bi-variate effects are considered when the associated secondary performance effect of another variable is significant. Although this traditional approach has been widely accepted by the industry, has offered a simple and transparent means of correcting test results, and has provided a reasonably accurate correction methodology for gas turbines with conventional control systems, it neglects the associated interdependence of each correction parameter from the remaining parameters. Also, its inherently static nature is not well suited for today’s modern gas turbine control systems employing integral gas turbine aero-thermal models in the control system that continuously adapt the turbine’s operating parameters to the “as running” aero-thermal component performance characteristics. Accordingly, the most accurate means by which to correct the measured performance from test conditions to the guarantee conditions is by use of Model-Based Performance Corrections, in agreement with the current PTC-22 and ISO 2314, although not commonly used or accepted within the industry. The implementation of Model-based Corrections is presented for the Case Study of a GE 9FA gas turbine upgrade project, with an advanced model-based control system that accommodated a multitude of operating boundaries. Unique plant operating restrictions, coupled with its focus on partial load heat rate, presented a perfect scenario to employ Model-Based Performance Corrections.
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Luccio, Alfredo. "A tool for model based diagnostics of the AGS booster." In Orbit correction and analysis in circular accelerators. AIP, 1994. http://dx.doi.org/10.1063/1.46770.

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Nie, Xiaoqian, and Xian-Cheng Zhang. "Wagner model correction under stress." In 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/amcce-18.2018.52.

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Oshlakov, V. G. "Correction of the Lorentz model." In SPIE Proceedings, edited by Gelii A. Zherebtsov and Gennadii G. Matvienko. SPIE, 2006. http://dx.doi.org/10.1117/12.675224.

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Keye, Stefan. "The Influence of Experimental Errors on the Correction Parameters of Finite Element Models." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4148.

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Abstract A simulation study has been performed on the influence of experimental errors on the accuracy of finite element model corrections. The impact of measurement uncertainties on the sub-structure correction factors, natural frequencies, and mode shape correlation is investigated using simulated modal data. Different numerical models are used to assess the effects of modelization error magnitudes and locations.
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Lam, Marca, Daniel J. Inman, and Andreas Kress. "Symmetric Model Correction of Mechanical Systems." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0281.

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Abstract This work examines the model updating problem for simple nonconservative proportionally damped systems. Model correction, also called model updating, refers to the practice of adjusting an analytical model until the model agrees with measured modal data. The specific case examined here assumes that natural frequencies and modal damping ratios are available from vibration tests and that the measured data disagrees in part with the modal data predicted by an analytical model. Most model correction schemes tend to produce updated damping and stiffness matrices which are asymmetric. The simple method presented here focuses on retaining the desired symmetry in the updated model.
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Atallah, Ahmed, and Ahmad Bani Younes. "Correction: Parallel Finite Element Gravity Model." In AIAA Scitech 2020 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-1465.c1.

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Wen, Jung, Kelly Trost, and D. Mook. "On nonlinear model correction for SAMPEX." In Guidance, Navigation, and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-3309.

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Ragheb, H., and E. Hancock. "Fresnel Correction of the Beckmann Model." In British Machine Vision Conference 2004. British Machine Vision Association, 2004. http://dx.doi.org/10.5244/c.18.67.

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Li*, Jianguo, Gang Xu, and Bo Liu. "Static correction model on walkaway vsp." In SEG 2019 Workshop: Mathematical Geophysics: Traditional vs Learning, Beijing, China, 5-7 November 2019. Society of Exploration Geophysicists, 2020. http://dx.doi.org/10.1190/iwmg2019_24.1.

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Reports on the topic "Model correction"

1

Luers, J. K. VIZTAB - the VIZ table correction model. Office of Scientific and Technical Information (OSTI), January 1994. http://dx.doi.org/10.2172/548870.

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Anderson, Richard G., Dennis Hoffman, and Robert H. Rasche. A Vector Error-Correction Forecasting Model of the U.S. Economy. Federal Reserve Bank of St. Louis, 1998. http://dx.doi.org/10.20955/wp.1998.008.

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Slavova, Angela, and Nikolay Kyurkchiev. On CNN Model of Black–Scholes Equation with Leland Correction. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, January 2018. http://dx.doi.org/10.7546/crabs.2018.02.03.

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Slavova, Angela, and Nikolay Kyurkchiev. On CNN Model of Black–Scholes Equation with Leland Correction. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, February 2018. http://dx.doi.org/10.7546/grabs2018.2.03.

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Smith, Kevin B., Michael A. Wolfson, and A. V. van Leijen. Correction to Attenuation Treatment in the Monterey-Miami Parabolic Equation Model. Fort Belvoir, VA: Defense Technical Information Center, May 2007. http://dx.doi.org/10.21236/ada467952.

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Hoffman, Dennis, and Robert H. Rasche. STLS/US-VECM 6.1: A Vector Error-Correction Forecasting Model of the US Economy. Federal Reserve Bank of St. Louis, 1997. http://dx.doi.org/10.20955/wp.1997.008.

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Khiari F. Z. and A. Luccio. CORRECTION OF THE TRAJECTORIES IN THE BOOSTER PROTON INJECTION LINE: A MODEL-BASED STUDY. Office of Scientific and Technical Information (OSTI), May 1989. http://dx.doi.org/10.2172/1150517.

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Sayyar-Rodsari, Bijan, and Carl Schweiger. Optimal Model-Based Fault Estimation and Correction for Particle Accelerators and Industrial Plants Using Combined Support Vector Machines and First Principles Models. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/992983.

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Kaihatu, James M. Data-Driven Boundary Correction and Optimization of a Nearshore Wave and Hydrodynamic Model to Enable Rapid Environmental Assessment. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada572936.

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Kaihatu, James M. Data-Driven Boundary Correction and Optimization of a Nearshore Wave and Hydrodynamic Model to Enable Rapid Environmental Assessment. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada557156.

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