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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
Dr. Milad Fathi
Ahmad Sohankar
Mahdi Emamjomeh
Teaching
Teaching Experience
National and International Awards
Advanced Microwave Engineering
Catalytic Application of Copper Complex Prepared by a NNN Pincer Ligand Supported on Silica Nanoparticles Using first Generation of Polyamidoamine Dendrimers
Main Streams of Research Projects
Research Projects
Workshop, “Frontiers in hadron and nuclear physics with strangeness and charm”
Simulation
Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran
Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran