Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods by M. Timur Cihan

“…According to the evaluation metrics, such as the correlation coefficient, root mean squared error, and mean absolute error, the fuzzy logic method makes better predictions than any other regression method. …”
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Derivative Spectrophotometric Methods for the Analysis and Stability Studies of Colistin Sulphate by Mohammed Mutasim Elimam, Shaza Wagiealla Shantier, Elrasheed Ahmed Gadkariem, Magdi Awadalla Mohamed

“…Simple spectrophotometric methods were developed for the quantitative determination of colistin sulphate in bulk and dosage forms. …”
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Springback Prediction of Sandwich Panel Using Machine Learning Methods by Raja Ouled Ahmed Ben Ali, Sami Chatti

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Spectrophotometric Methods for the Assay of Pyrilamine Maleate Using Chromogenic Reagents by V. Annapurna, G. Jyothi, V. Nagalakshmi, B. B. V. Sailaja

“…The optical characteristics such as Beers law limits, molar absorptivity and Sandell’s sensitivity for the methods (A-C) are given. Regression analysis using the method of least squares was made to evaluate the slope (b), intercept (a) and correlation coefficient (r) and standard error of estimation (Se) for each system. …”
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Application of methods of system analysis for modeling the process of distance learning by S. Ya. Zhukovich

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Determining friction properties of ABS plastic in contact with loamy soil by S. A. Kvas, A. S. Zolotarev

“…(Results and discussion) Graphs were constructed to illustrate the relationship between of the friction parameters of acrylonitrile butadiene styrene (ABS plastic) on absolute soil moisture. It was determined that at absolute soil moistures of 18, 20 and 26 percent, the friction coefficients of acrylonitrile butadiene styrene are 0.45, 0.5 and 0.6, respectively. …”
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Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil by Gustavo H. da Silva, Santos H. B. Dias, Lucas B. Ferreira, Jannaylton É. O. Santos, Fernando F. da Cunha

“…Daily ET0 values were randomized, and 70% of these were used to determine the calibration parameters of the ET0 for the equations of each method under study. …”
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Spectral Methods for Monitoring Transformer Equipment State of Paper Insulation by Kozlov V.K., Kurakina O.E., Sabitov A.H., Nigmatullina G. F., Salyakhutdinov R. A.

“…The purpose of the work is to develop new methods for determining the moisture content and the degree of polymerization of the paper in-sulation of a power transformer. …”
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Comparison of methods for estimating leaf area in pornunça (Manihot sp.) by Mauricio L. de M. V. Leite, Geovane A. de Moura, Edvaldo A. de Moura, Leandro R. R. de Lucena, Aldo T. Sales, Everardo V. de S. B. Sampaio

“…Independent of the method of determination, the power models showed the best criteria of adequacy for estimating the leaf area of the pornunça. …”
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Modeling Soil Temperature with Fuzzy Logic and Supervised Learning Methods by Bilal Cemek, Yunus Kültürel, Emirhan Cemek, Erdem Küçüktopçu, Halis Simsek

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Application of Satellite Image Processing Methods for Hydrocarbon Field Search by R. V. Fiodоrtsev, A. R. Silie Cuenca, D. A. Kozhevnikov, V. M. Medina, R. Delgado

“…The object of the study is software methods of the Earth surface images processing obtained from the VRSS-2 satellite to determine the spectral composition of the vegetation cover to detect the presence of carotenoids during prolonged exposure to hydrocarbons.The photosynthetic pigments of higher plants (chlorophylls, carotenoids and phytobiliproteins) were analyzed. …”
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Assessment of Machine Learning Methods for Concrete Compressive Strength Prediction by Oluwafemi Omotayo, Chinwuba Arum, Catherine Ikumapayi

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Transferability of Model-Based Static Coefficient of Friction by Jonathan Schanner, Friedemann Reiß, Erhard Leidich, Alexander Hasse

“…The accurate determination of static coefficients of friction (COFs) is crucial in engineering design, yet standard reference values often show considerable variability. …”
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Performance of methods for estimation of table beet water requirement in Alagoas by Daniella P. dos Santos, Célia S. dos Santos, Leiliane M. da Silva, Márcio A. L. dos Santos, Cícero G. dos Santos

“…Beet ETc showed a cumulative demand of 202.11 mm for a cumulative reference evapotranspiration of 152.00 mm. Kc values determined using the Penman-Monteith-FAO 56 and Hargreaves-Samani methods were overestimated, in comparison to the Kc values of the FAO-56 standard method. …”
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EXPRESS METHODS FOR ANALYSING THERMO-ELECTRIC MATERIALS AND CONVERTER CHARACTERISTICS by E. S. Avilov, M. A. Korzhuev, M. A. Kretova

“…A method is proposed for diagnosing the “phonon glass electron crystal” (PGEC) phase (1 ~ lph / a << λe / a/ a) by determining the mean free paths of phonons lph and electrons λe. …”
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The Questionnaire Survey Method in Medicine on the Example of Treatment Adherence Scales by Yu. V. Lukina, N. P. Kutishenko, S. Yu. Martsevich, O. M. Drapkina

“…Adherence was assessed using the original AS questionnaire, for which external validation was performed (with the calculation of the Cohen's Kappa coefficient). The reference methods were the validated questionnaire and direct medical interview. …”
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Parameter identification of soil-pile system by the dynamic testing method by Nguyen Tien Khiem

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Fault Diagnosis Method of Gear based on Adaptive Demodulated Resonance by Lian Peng, Yang Jianwei, Yao Dechen

“…Firstly,the original signal is decomposed into several IMFs,and the signal is reconstructed by using the correlation coefficient method to highlight the fault characteristic signal. …”
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Application of big data method in forecasting the risk of tariff recovery by Yadi ZHAO, Zhao WU, Qingbing LI, Xiaofeng CHEN, Baoting WANG

“…Based on the historical data of electricity customers,the model index system was determined according to the customers’ basic attributes,the electricity consumption and the payment behavior,the customers’ credit,the industry prospects’ information and so on.Through the correlation coefficient matrix and the information value of the index,the index variables that enter the model were selected.At the same time,the best grouping method was used to group variables and WOE (weight of evidence) transformation was carried out.Based on the processed data,the logic regression algorithm were used to construct the electricity cost risk forecasting model of the electric customers,and output variable standard score card was quantified according to the model results.Thus the customers were divided into high,middle and low risk users that could provide the basis for taking differential marketing measures to the different customers.…”
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Application of big data method in forecasting the risk of tariff recovery by Yadi ZHAO, Zhao WU, Qingbing LI, Xiaofeng CHEN, Baoting WANG

“…Based on the historical data of electricity customers,the model index system was determined according to the customers’ basic attributes,the electricity consumption and the payment behavior,the customers’ credit,the industry prospects’ information and so on.Through the correlation coefficient matrix and the information value of the index,the index variables that enter the model were selected.At the same time,the best grouping method was used to group variables and WOE (weight of evidence) transformation was carried out.Based on the processed data,the logic regression algorithm were used to construct the electricity cost risk forecasting model of the electric customers,and output variable standard score card was quantified according to the model results.Thus the customers were divided into high,middle and low risk users that could provide the basis for taking differential marketing measures to the different customers.…”
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