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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
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
Optimizing of Processing Variables to Produced the Elastic Core-spun Yarn by Siro Spinning System Using SOM Neural Network
Grey Relational Analysis to Determine the Optimum process parameters for Open-end Spinning Yarns
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
An Investigation into the Fatigue Behavior of Core-spun Yarns under Tensile Cyclic Loading
Investigation into Energy Absorption Capacity of Composites Reinforced by Three-Dimensional-Weft knitted Fabrics
Investigation into the Curling Behavior of Single Jersey Weft Knitted Fabrics and its Prediction using Neural Network Model
Analyzing the Effect of Yarn and Fabrics parameters on Electromagnetic Shielding of Metalized Fabrics Coated with Polyaniline
Optimization and Prediction of the Pilling Performance of Weft Knitted Fabrics Produced from Wool/Acrylic Blended Yarns
The Optimization of the Physical and Mechanical Properties of Core-Spun Yarns Produced by Siro Spinning System by Using Neural Network