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Optimizing Spinning Variables to Reduce the Hairiness of Rotor Yarns Produced from Waste Fibers Collected from the Ginning Process
Determining the Optimum Spinning Conditions to Produce the Rotor Yarns from Cotton Wastes
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
Grey Relational Analysis to Determine the Optimum process parameters for Open-end Spinning Yarns
Applying the Gray Relativity Analysis for Optimizing the Open-End Spun Yarns Production Process from the Cotton/Waste Blended Fibers
Biomechanical charactrization of cornea
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Invited Speaker, GrapChina-2018

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