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Recent advances in transition metal oxide-based photocatalysis for the treatment of agricultural wastewater: A review
Biomass-derived green polymers for environmental remediation
Mehdi Kooshan- مهدي كوشان
E. Rokrok
Operator Algebraist
Improvement of Biodegradability Bioactivity Mechanical Integrity and Cytocompatibility Behavior of Biodegradable Mg Based Orthopedic Implants Using Nanostructured Bredigite (Ca7MgSi4O16) Bioceramic Coated via ASD/EPD Technique
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
Investigation of the effects of climate change on hydrological drought and pattern detection for severe climatic conditions using CCT and SWAT models in the semi-arid regionCase study: Karkheh river basin
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.‏
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
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
Dr. Milad Fathi
Mahdi Emamjomeh
Publications