1 |
Development and analyses of data-driven models for predicting the bed depth profile of solids flowing in a rotary kiln Parveen N, Zaidi S, Danish M Advanced Powder Technology, 31(2), 678, 2020 |
2 |
Support vector regression: A novel soft computing technique for predicting the removal of cadmium from wastewater Parveen N, Zaidi S, Danish M Indian Journal of Chemical Technology, 27(1), 43, 2020 |
3 |
Explicit Determinations of the Colebrook Equation for the Flow Friction Factor by Statistical Analysis Heydari A, Narimani E, Pakniya F Chemical Engineering & Technology, 38(8), 1387, 2015 |
4 |
A Novel Algorithm for Estimating Refurbished Three-Phase Induction Motors Efficiency Using Only No-Load Tests Al-Badri M, Pillay P, Angers P IEEE Transactions on Energy Conversion, 30(2), 615, 2015 |
5 |
Effect of liquid surface tension data on the validity and accuracy of solid surface tension components and parameters in the application of the van Oss-Chaudhury-Good approach Weng M, Shen Q Journal of Adhesion Science and Technology, 28(22-23), 2248, 2014 |
6 |
Solid surface tension components and their error limits induced by contact angle measurement in application of the van Oss-Chaudhury-Good approach Weng M, Shen Q Journal of Adhesion Science and Technology, 27(23), 2571, 2013 |
7 |
Empirical relationships between crude-oil characteristics Mytareva AI, Torkhovskii VN Chemistry and Technology of Fuels and Oils, 48(5), 403, 2012 |
8 |
Descriptive vector, relative error matrix, and interaction analysis of multivariable plants Monshizadeh-Naini N, Fatehi A, Kahki-Sedigh A Automatica, 47(1), 108, 2011 |