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Hamid Reza Mirdamadi
Research Topics & Directions
Biography 64
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M.Sc. Thesis and Seminar
Application of Multiple Linear Regression and Artificial Neural Network Algorithms to Predict the Total handle Value of Summer Knitted T-shirts
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
Regression Model for the Bagging Fatigue of Knitted Fabrics Produced from Viscose/Polyester Blended Rotor Yarns
Bagging Behavior of Different fabrics Structures knitted from blended yarns using image processing
Investigation into the Curling Behavior of Single Jersey Weft Knitted Fabrics and its Prediction using Neural Network Model
Analysis and Prediction of the Noise Reduction Coefficient of Lightly needled Estabragh/polypropylene Nonwovens Using Simplex Lattice Design

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