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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
Graduate Students
Mahdi Emamjomeh
Ahmad Sohankar
Dr. Milad Fathi
Curriculum Vitac
Dr. Alireza Saljoughian
Workshop, “Frontiers in hadron and nuclear physics with strangeness and charm”
Research Projects
Synthesis and characterization of new polyureas derived from 4-(4′-Methoxyphenyl)urazole
K. Ghaffari
Simulation
سلطاني معاد- Maad Soltani
مهدي حاجي هاشمي- Mahdi Hajihashemi