A robust pressure drop prediction model in vertical multiphase flow: a machine learning approach by Fahd Saeed Alakbari, Mohammed Abdalla Ayoub, M. A. Awad, Tarek Ganat, Mysara Eissa Mohyaldinn, Syed Mohammad Mahmood

“…The ANFIS model was rigorously evaluated using different methods, such as cross plot, error distribution, Kruskal-Wallis (KW) test, error boxplot and violin graphs, Confidence Interval (CI), and statistical error metrics. …”
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Thuja occidentalis "Smaragd" root system growth modeling, grown using above ground pot-in-pot by Tseplyaev Alexey, Popova Anna, Paltseva Anastasia

“…Growing planting material in containers is the most optimal way to produce plants in nurseries. …”
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Garbage prediction using regression analysis for municipal corporations of Indian cities by Raj Kumar Sharma, Manisha Jailia

“…Random Forest Regression (RFR) with (MSE: 100,078.749 & MAE: 182.212) shows that it has the lowest MSE among all the models, which provides the most accurate predictions on average and the fit values of 8.85 and 316.23 obtained from the error distribution with a bin value 25. …”
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The application of the concept of trust marketing in the study of price sensitivity to study the consumer value of topical antifungal agents in the dosage form “gel” by I. V. Bushuieva, R. L. Prytula, O. P. Shmatenko, V. V. Parchenko

“…For each medicinal product with a gel dosage form with antifungal action only and with antifungal and additional antibacterial action, azole derivatives, we have built graphs of the cumulative distribution of respondents, calculated the point values of the minimum (MCP), maximum (MEP), optimal (OPP) and indifferent price (IDP) that respondents are willing to pay for an antifungal product. …”
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