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Application of Multiple Linear Regression and Artificial Neural Network Algorithms to Predict the Total handle Value of Summer Knitted T-shirts
Analysis of Blend Irregularities and Fiber Migration Index of Wool/Acrylic Blended Worsted Yarns by Using an Image Analysis Technique
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
An Investigation into the Fatigue Behavior of Core-spun Yarns under Tensile Cyclic Loading
Comparison of of Softened Polylactic Acid and Polyethylene Terephthalate Fabrics Using KES-FB
Optimization and Prediction of the Pilling Performance of Weft Knitted Fabrics Produced from Wool/Acrylic Blended Yarns
An Alternative Approach to Predict the Total Handle Value of Summer Knitted Suits
Effect of Material and Fabric Parameters on Fatigue Value of Weft Knitted Fabrics
Our Research Projects
Preparation of New DNA Biosensor for Selective Analysis of Important Pharmaceutical Preparation, Riboflavine
Design & Construction of a Biosensor Based on DNA and Multiwall Carbon Nanotubes for the Determination of Codeine and Morphine in the Presence of Each Other Using Electrochemical Methods
Design And Preparation of a biosensor Based on ds-DNA Decorated Chitosan Modified Multiwall Carbon Nanotubes for Voltammetric Biodetection of Trace Amounts Of Herbicide Amitrole