The purpose of this study was to enhance the accuracy calorific value estimation coal by applying data preprocessing methods in laser-induced breakdown spectroscopy (LIBS). Savitzky–Golay (SG)-smoothing and SG derivative were adopted improve prediction model. relationship among original, SG-smoothing-pretreated, derivative-pretreated LIBS their elemental concentrations determined using partial ...

Spatial cross-validation and average-error statistics are examined with respect to their abilities to evaluate alternate spatial interpolation methods. A simple crossvalidation methodology is described, and the relative abilities of three, dimensioned error statistics—the root-mean-square error (RMSE), the mean absolute error (MAE), and the mean bias error (MBE)—to describe average interpolator...

It is vital to accurately map the spatial distribution of precipitation, which widely used in many fields such as hydrology, climatology, meteorology, ecology, and agriculture. This study aimed reveal seasonal, long-term average precipitation Euphrates Basin with various interpolation methods. For this reason, Simple Kriging, Ordinary Universal CoKriging, Empirical Bayesian Radial Basis Functio...

Abstract This study aimed to accurately estimate daily wheat evapotranspiration using two remote sensing algorithms, Surface Energy Balance System (SEBS) and Algorithm for Land (SEBAL), in central Khuzestan province during 2019–2020. The results of algorithms were compared with lysimeter (as a direct method), FAO-Penman–Monteith (FAO-PM), temperature-based methods (Hargreaves-Samani Blaney-Crid...

estimation of reservoir water saturation (sw) is one of the main tasks in well logging. many empirical equations are available, which are, more or less, based on archie equation. the present study is an application of radial basis function neural network (rbfnn) modeling for estimation of water saturation responses in a carbonate reservoir. four conventional petrophysical logs (pls) including d...

Lake water quality monitoring using traditional water sampling and laboratory analyses is very expensive and time consuming. Application of neural networks to predict water quality using satellite imagery data has a potential to make the water quality determination process cost-effective, quick, and feasible. This paper includes an indirect method of determining the concentrations of chlorophyl...

The growing volume of data usually creates an interesting challenge for the need of data analysis tools that discover regularities in these data. Data mining has emerged as disciplines that contribute tools for data analysis, discovery of hidden knowledge, and autonomous decision making in many application domains. The purpose of this study is to compare the performance of two data mining techn...

this paper presents mathematical models of thin layer forced convection solar drying of cuminum cyminum using two drying methods (mixed and indirect) at different operating conditions. the average initial moisture content of the seeds for all tests was about 43% d.b. and the drying was performed continuously, in each test, for a uniform period of 90 minutes drying time in a solar cabinet dryer ...

In this article, a numerical-analytical model of the reflection coefficient an electromagnetic wave from rough soil surface is proposed. Based on created coefficient, in frequency range 520 MHz to 1.26 GHz, broadband method for root-mean-square deviation (RMS) heights and volumetric moisture developed. When creating, field reflected was presented as sum secondary fields infinite set elementary ...