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- W4312848875 abstract "We report a new computer program water classification system (WCSystem) for water multidimensional classification through five new models (7-hlr, CB, VL, VP, and VR) achieved from linear discriminant analysis and canonical analysis, categorical boosting, and support vector machines. These five new models were recently proposed using a novel methodology summarized as follows: (i) Large datasets (50,000 samples for training and 8000 samples for external validation) of ionic charge-balanced concentrations of 4 cations (Ca, Mg, Na, and K) and 4 anions (SO4, Cl, HCO3, and CO3) were generated from Monte Carlo procedure; (ii) the initial 16 classes assignment was based on the highest molar concentrations of a cation and an anion of each simulated sample; (iii) datasets with similar sizes were simulated for all classes; (iv) seven hybrid log-ratios from 8 elemental concentrations were used as features; (v) all models were enabled to provide the type of basic and hybrid water. WCSystem program to apply these models was developed as a Python application ready to use for any user. The use of WCSystem is illustrated through experimental data of well waters of three geothermal systems (Rotorua, New Zealand; Miravalles, Costa Rica; Aluto-Langano, Ethiopia) and sedimentary basins from Kettleman North Dome, California." @default.
- W4312848875 created "2023-01-05" @default.
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- W4312848875 date "2022-01-01" @default.
- W4312848875 modified "2023-09-23" @default.
- W4312848875 title "WCSystem—A New Computer Program for Water Classification Through Five New Multidimensional Models and Its Application to Geosciences" @default.
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- W4312848875 doi "https://doi.org/10.1007/978-981-19-4782-7_19" @default.
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