semi-empirical model prediction
A Semi-Empirical Model of Rain Attenuation at Ka-Band in Northern Taiwan
... a semi-empirical model has been developed for prediction of rain attenuation at Ka-band in northern ...proposed model proves sufficiently accurate for Ka-band signal attenuation in site ...
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Prediction of net tension strength for multirow bolted connections of pultruded material using the Hart Smith semi empirical modeling approach
... Hart-Smith semi-empirical modeling approach can be used to predict the net-tension strength of multi-rowed bolted connections of pultruded ...For model verification a comparison is made between ...
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Evaluation of five traction models for agricultural tractors in Colombia
... of empirical equations, the latter methodology has shown good results and numerous ...four empirical traction models and one semi-empirical in order to establish the model that best fit ...
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A Semi Empirical Path Loss Model By Using Artificial Neural Networks (Ann)
... path prediction for urban, suburban and rural areas at 800 MHz, 1800 MHz is presented based on Artificial Neural Networks ...use prediction models, including both statistical and deterministic ...The ...
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Laccase pretreatment of wheat straw: effects of the physicochemical characteristics and the kinetics of enzymatic hydrolysis
... A semi-empirical kinetic model was proposed to estimate the reducing sugar yield, and it showed high accuracy (predicting error < 10%) for describing the behavior of laccase treated wheat straw ...
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Hydro stochastic interpolation coupling with the Budyko approach for prediction of mean annual runoff
... by empirical formulae linking spatial features, ...a semi-empirical approach to model the deterministic process of the runoff, the Budyko frame- work has been popularly used to analyze the ...
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Estimation of vibration exposure in residential environments
... a semi empirical prediction model for propagation of the measured exposure from the long term monitoring position, placed at the boundary between the construction yard and the living ...
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A semi-empirical ship operational performance prediction model for voyage optimization towards energy efficient shipping
... the prediction of ship operational performance for Suezmax and Aframax Oil Tankers, and the results indicate that the semi-empirical ship operational performance prediction model ...
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Hybrid supracolloidal structures through interface driven assembly
... A semi- empirical model based on the hypothetical equilibrium of Laponite clay discs distributed between the aqueous phase (excess) and onto the latex surfaces (Pickering stabiliser) allowed ...
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Sediment yield estimation using a semi-quantitative model and GIS-remote sensing data
... and empirical models are proposed to describe and predict soil erosion by water, and associated sediment ...the empirical prediction models continue to play an important role in soil conservation ...
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Study and Comparison of Surface Roughness between Experimental and Analytical Data of Forged Al-Tib2 Composite
... previous chapter and subjected to different processing conditions. In this section, in-situ composites were subjected to machinability studies under as cast state, where surface roughness is determined experimentally and ...
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Performance Modeling using a Genetic Programming Based Model Error Correction Procedure
... A semi empirical model has been developed to predict computation time and communication times for any given HPC ...the semi- empirical model was collected by recording the total ...
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Electronic transport on carbon nanotube networks : a multiscale computational approach
... On chapter 4, a microscopic model for quantum transport on carbon nanotnbe networks was presented, where individual nanotubes are described by a semi-empirical tight binding Hamiltonian,[r] ...
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Applying Fuzzy Logic Model for Bending Rigidity Evaluation of Woven Fabrics
... quantitative prediction of this property is still an issue that needs to be addressed to achieve the goal of engineering-based design of ...fuzzy model is to capture the relationship between the ...
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An ANFIS-based Approach for Predicting the Manning Roughness Coefficient in Alluvial Channels at the Bank-full Stage
... forecast model [18], suspended sediment estimation [19, 20], modelling of evaporation from the reservoir [21], fluvial hydraulics [22], forecasting of river flow [23], and scour depth prediction ...
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An experiment to measure raindrop collection efficiencies: influence of rear capture
... Different physical processes need to be taken into account to understand how the atmospheric concentration of partic- ulate matter changes with size in the accumulation mode, how particles are removed, and how they can ...
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Semi-Log Model. Semi-Log Model
... u Used in situations for example where the rate of growth of the money supply affects GNP.... Jump to first page [email protected].[r] ...
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Development and evaluation of an adaptive neuro fuzzy interface models to predict performance of a solar dryer
... to model grain ...ANN model fit the experimental data model with low percentage error(Satishand Pydisettee, ...and empirical mathematical ...ANN model fit the experimental data more ...
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A quantitative dynamic systems model of health-related quality of life among older adults
... systems model that describes the development of HRQOL in individuals over time, this study aims to develop and test a quantitative dynamic systems model, in order to reveal the possible dynamic trends of ...
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Assessing the impact of Syrian refugees on earthquake fatality estimations in southeast Turkey
... Improved human exposure data impact several compo- nents of the risk analysis process, including loss estimation and disaster relief (Chen et al., 2004; Aubrecht et al., 2012; Guha-Sapir and Vos, 2011). Studies by ...
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