average error
Average Error Rates and Achievable Capacity in Large Office Indoor Wireless Environments
... Analytical results are used to: 1 investigate the impact of different JFTS model parameters and different modulation techniques on bit error rates and cutoff rates and 2 demonstrate how [r] ...
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Bayesian average error based approach to sample size calculations for hypothesis testing
... of the classical, we take α ∗ and β ∗ to be 0.05 and 0.2, respectively, and use a total error bound of α = 0.25 with a weight w = 0.5 for our method. We use the same prior parameters as in the first specification ...
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Data assimilation in integrated hydrological modelling in the presence of observation bias
... The ColFilEns50 performed poorly in all three perfor- mance indicators as seen in Fig. 2. The average error in esti- mated bias is 0.47 m; worse than the average absolute bias of the observations ...
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Analysis of the precision, robustness and speed of elastic resonator interference stress microscopy
... large average errors for all exposure times we ...the average error significantly for exposure times up to 10 ms (when using FWHM bandwidth >= ...mean average error for these ...
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Three-Dimensional Morphometry of Single Endothelial Cells with Substrate Stretching and Image-Based Finite Element Modeling
... Morphologically accurate reproduction of the behavior of endothelial cells is a key to understanding their mechanical behavior in cyclically inflated arteries and to quantitatively correlating this with cellular ...
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Approximate multipliers for MAC
... calculated average error of the ...lowest error according to the Quality Analysis while not at the lowest ...higher error. The error is really small however and these differences are ...
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FPGA Implementation OF Iterative Log Multiplier Using Operand Decomposition For Image Processing Application
... Abstract—Faster multiplier is the vital procedure mainly for DSP and image processing application. Log multiplier converts the multiplication into addition, hence speed up the multiplication. Mitchell’s approximation ...
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Identifying Real Estate Opportunities Using Machine Learning
... Distribution of the median average error based on the different parameters for the ensembles of regression trees. Figure 10[r] ...
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Mathematical Modeling with Local Volatility Surface by Radial Basis Function Approach
... minimum error among different types of radial basis ...of average error which are shown in figure (2) but face some problem to understand which function is the ...relative average error ...
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Faster quantum simulation by randomization
... While randomization provides a useful theoretical handle for establishing better provable bounds, those bounds may still be far from tight. As described in Section 1, our original motivation for considering randomization ...
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<p>Scalable in silico Simulation of Transdermal Drug Permeability: Application of BIOiSIM Platform</p>
... The model has been validated using an internal test set of structurally diverse drug-like compounds. In keeping with the principles of good modeling ( “ as simple as possible, but no simpler ” ), the BIOiSIM model ...
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Using Spline Functions to Smooth Discrete Data
... the error of the approximation is about 4.5%. The error of the approximation will decrease with the increased number of sub-interval, as shown with the curve A in ...relative error will be less than ...
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Quantifying Regional-Scale Water Storage Using Models and Observations: Application For Drought Assessment In South Carolina
... optimal range and Vibrio counts start to decrease. This pattern is what is known as the quadratic trend, which is why we used the quadratic value for conductivity, which is conductivity 2 , to assess its effect, similar ...
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Yaw control for 20MW offshore multi rotor system
... The novel yawing technique applied is to adjust the thrust of the individual rotors. For example, if a clock- wise motion is required to reduce the yaw error, the thrust of the rotors on the right hand side of the ...
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Error diagnostic for weighted moving average to forecast Sharia- compliant securities in Malaysian Stock Exchange
... moving average and weighted moving average. Then, three types of error are ...of error are mean absolute deviation (MAD), mean squared error (MSE) and mean absolute percentage ...
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Self-regulatory information sharing in participatory social sensing
... Re- sults confirm the trend of Figure , however, the average local error and global error for daily summarization and % of the participating citizens are .% and .% higher tha[r] ...
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An Analysis of Tax Forecasting Errors in Ireland
... This paper undertakes a comprehensive analysis of official tax forecast errors for the period 1997-2014. Some of the analysis builds upon material from the TFMRG report and publications by the Irish Fiscal Advisory ...
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Characterization of the morphological, physical, and mechanical properties of seven nonwood plant fiber bundles
... Fig. 2. Diameters and densities of seven nonwood plant fiber bundles. Error bars show 95% confidence intervals of mean diameters. Bars marked with different letters are significantly different by Tukey’s test (P ...
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Software Defect Prediction Tool based on Neural Network
... Percentage error = | average predicted outputs – average actual outputs | / average actual outputs *100 Percentage error = 11.91% Percentage accuracy = 100 – percentage error Percentage [r] ...
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Exploring amazonian fats and oils blends by computational predictions of solid fat content
... Coupling experimental data, thermodynamic models and computational tools can reduce time and cost in the evaluation of innovative fats and oils. As the solid fat content is a key property that determines the application ...
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