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TitleAuthor(s)SourcePage(s)
Comparison of artificial neural network and regression models for prediction of air-jet textured yarn propertiesBaldua, R K; Rengasamy, R S; Kothari, V KIJFTR Vol.39(2) [June 2014]157-162
Bulk characteristics of air-jet textured yarn woven fabricsKothari, V K; Mukhopadhyay, A; Kaushik, R C DIJFTR Vol.25(1) [March 2000]37-41
Prediction of air-jet textured yarn properties using statistical method and neural networkYadav, V K; Kothari, V KIJFTR Vol.29(2) [June 2004]149-156
Effect of air-jet texturing process variables on physical bulk obtained by image analysis methodMukhopadhyay, A; Kaushik, R C D; Kothari, V KIJFTR Vol.25(4) [December 2000]264-270
Test Methods for Air-Jet Textured YarnsSrinivasan, J; Kothari, V K; Sengupta, A KIJFTR Vol.13(2) [June 1988]97-106
Air-jet texturing: Effect of jet type and some process parameters on properties of air-jet textured yarnsKothari, V K; Timble, N BSpecial issue: IJFTR Vol.16(1) [March 1991]29-38
Effect of winder type and winding parameters on package density and physical bulk of air-jet textured yarnsKothari, V K; Mukhopadhyay, A; Kaushik, R C DIJFTR Vol.25(2) [June 2000]83-86
Effect of process parameters and blend percentage on physical properties of polyester/viscose blended air-jet textured yarnsMahish, S S; Punj, S K; Kothari, V KIJFTR Vol.31(1) [March 2008]13-16
Effect of process variables on the properties of air-jet textured yarns using response surface designPalta, Deepali; Kothari, V KIJFTR Vol.27(3) [September 2002]224-229