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Kadkhodaei, M. H., Ghasemi, E., & Mahdavi, S. (2023). Modelling tunnel squeezing using gene expression programming: a case study. Proceedings of the Institution of Civil Engineers-Geotechnical Engineering, 176(6), 567-581.‏
Design and identification of poly(vinyl chloride)/layered double hydroxide@MnO2 nanocomposite films and evaluation of the methyl orange uptake: linear and non-linear isotherm and kinetic adsorption models
Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm
Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm
A Comparison of the Sensitivity of the BayesC and Genomic Best Linear Unbiased Prediction (GBLUP) Methods of Estimating Genomic Breeding Values under Different Quantitative Trait Locus (QTL) Model Assumptions
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Synthesis and characterization of new polyureas derived from 4-(4′-Methoxyphenyl)urazole
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K. Ghaffari
سلطاني معاد- Maad Soltani