نتایج جستجو برای: root mean square error rmse
تعداد نتایج: 996558 فیلتر نتایج به سال:
Characterizing both spatial and temporal soil moisture (θ) dynamics at site scales is difficult with existing technologies. To address this shortcoming, we developed a distributed soil moisture sensing system that employs a distributed temperature sensing system to monitor thermal response at 2 m intervals along the length of a buried cable which is subjected to heat pulses. The cable temperatu...
in this research, rehydration behavior of dried figs was studied at different temperatures (25, 60, 70, 80, and 90°c). the rehydration kinetic was examined using the four most frequently used empirical models, namely, weibull, peleg, first-order, and exponential association models. the weibull model gave the highest coefficient of determination (r2) and the lowest values of root mean square err...
response surface methodology (rsm) is a statistical method useful in the modeling and analysis of problems in which the response variable receives the influence of several independent variables, in order to determine which are the conditions under which should operate these variables to optimize a corrugated box production process. the purpose of this research is to create response surface mode...
In this paper, we present a robust timing offset estimation method using subautocorrelation functions for uniand bi-directional chirp signals. The presented timing offset estimator is designed to be applied with a generalized chirp signal sequence, which use unior bi-directional chirp symbols. Using the conjugate property of the chirp signal, the sub-autocorrelation functions are generated to b...
Numerical experiments indicate that images, in general, possess a considerable degree of affine self-similarity, that is, blocks are well approximated in root mean square error (RMSE) by a number of other blocks when affine greyscale transformations are employed. This has led to a simple L-based model of affine image self-similarity which includes the method of fractal image coding (cross-scale...
The primary factors in determining beef quality grades are the amount and distribution of intramuscular fat percentage (IMFAT). Texture analysis was applied to ultrasound B-mode images from ribeye muscle of live beef cattle to predict its IMFAT. We used wavelet transform (WT) for multiresolutional texture analysis and second-order statistics using a gray-level co-occurrence matrix (GLCM) techni...
canola is a prominent oil seed crop with a very high production potential in iran and the production process of which needs to be optimized. drying is an important part of the processing of the crop with emc values playing a vital role in the process. in this research adsorption and desorption experiments were conducted in an environmental chamber for licord variety of canola. the thin layer ex...
Accurate partitioning of the evaporation (E) and transpiration (T) components of evapotranspiration (ET) in remote sensing models is important for evaluating strategies aimed at increasing crop water productivity. A two-source energy balance (TSEB) model designed for row crops solves the energy balance of the soil-canopy-atmosphere continuum using surface brightness temperature. By solving the ...
Crossing the legs at the knees, during BP measurement, is one of the several physiological stimuli that considerably influence the accuracy of BP measurements. Therefore, it is paramount to develop an appropriate prediction model for interpreting influence of crossed legs on BP. This research work described the use of principal component analysis- (PCA-) fused forward stepwise regression (FSWR)...
Recent years have witnessed a controversy over Heisenberg’s famous error-disturbance relation. Here we resolve the conflict by way of an analysis of the possible conceptualizations of measurement error and disturbance in quantum mechanics. We discuss two approaches to adapting the classic notion of root-mean-square error to quantum measurements. One is based on the concept of noise operator; it...
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