Forecasting the Beef Meat Prices in Erbil Using Box-Jenkins Models
Eurasian Journal of Management & Social Sciences, 2020 Foodstuff has a crucial role for everybody life in the world. In Iraq, beef meat is one of the important parts of the food basket of every household in Erbil.
Feink Mohammed Omer, Wasfi Tahir Salih
doaj +1 more source
Normalized Root-Mean-Square Error (RMSE) of TorchDIVA motor signal.
, 2023 Normalized Root-Mean-Square Error (RMSE) of TorchDIVA motor signal.
Visar Berisha (2218258) +2 more
core +1 more source
Root mean square error of the mean.
, 2022 The root mean square error, or root mean square difference between the estimate and the true value, of the mean parameter value from the Bayesian posterior.
Van N. T. La (13883542) +3 more
core +1 more source
Evaluation of SSM-Wheat Model in Simulating the Growth and Development of Wheat (Triticum aestivum L.) Cultivars in Different Planting Densities [PDF]
بوم شناسی کشاورزیIntroductionWheat (Triticum aestivum L.) is one of the most important and widely consumed crops in the world. Changing the density towards an optimal density can alter the ratio of soil evaporation to plant transpiration in such a way that water use ...
Ali Rahemi karizki +5 more
doaj +1 more source
A Comparison of Root Mean Square Errors on Skeletonization Methods [PDF]
International Journal of Applied Physics and Mathematics, 2012 Vectorization is the most fundamental operation in interpretation of line drawings and document analysis. There are several reasons for converting image vectorization. Vector data is normally created from existing natural source image like photographs, scanned images.
Neeti Daryal, Vinod Kumar
semanticscholar +2 more sources
Evaluation of Predictive Equations for Local Pier Scour in Cohesive Soils [PDF]
Engineering and Technology Journal, 2019 Wavelet analysis has become a powerful tool for denoising images. It represents a new way to achieve better noise reduction and increased contrast. Here, experimentally demonstrate the abilities of the discrete wavelet transform with Daubechies basis ...
Zahraa Hassan +2 more
doaj +1 more source
Correcting the Bias of the Root Mean Squared Error of Approximation under Missing Data [PDF]
Methodology, 2018 Missing data are ubiquitous in both small and large datasets. Missing data may come about as a result of coding or computer error, participant absences, or it may be intentional, as in planned missing designs. We discuss missing data as it relates to goodness-of-fit indices in Structural Equation Modeling (SEM), specifically the effects of missing data
Von Oertzen, Timo +6 more
openaire +4 more sources
Wavelet-Based Denoising Of Images [PDF]
Engineering and Technology Journal, 2019 Wavelet-analysis has become a powerful tool for denoising images. It represents a new way to achieve better noise reduction and increased contrast. Here, experimentally demonstrate abilities of discrete wavelet transform with Daubechies basis functions ...
Alauldeen Yaseen +2 more
doaj +1 more source
A Simple Tuning Algorithm of Augmented Fuzzy Membership Functions
IEEE Access, 2020 The successful application of fuzzy control depends to a large extent on the parameters of some subjective decisions, such as fuzzy membership function (MF).
Salah-Ud-Din Khokhar +4 more
doaj +1 more source
Root-mean-square errors in validation as a function of batch size and learning rate in training.
, 2022 Taking 75% voxels as training set, and the remaining 25% as validation set. After 20000 iterations, we used root-mean-square error as the measure of performance to select the optimal combination of batch size and learning rate.
Hu Cheng (1349700) +6 more
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