Automated Process Monitoring in 3D Printing Using Supervised Machine Learning U Delli, S Chang 46th SME North American Manufacturing Research Conference, NAMRC 46, Texas …, 2018 | 265 | 2018 |
An integrated group decision-making approach to quality function deployment ENGSSAYE Ho, YJOU Lai, SI Chang IIE transactions 31 (6), 553-567, 1999 | 152 | 1999 |
Statistical process control for monitoring non-linear profiles using wavelet filtering and B-spline approximation SI Chang, S Yadama International Journal of Production Research 48 (4), 1049-1068, 2010 | 121 | 2010 |
A medical decision support system for disease diagnosis under uncertainty B Malmir, M Amini, SI Chang Expert Systems with Applications 88, 95-108, 2017 | 118 | 2017 |
Determination of cluster number in clustering microarray data J Shen, SI Chang, ES Lee, Y Deng, SJ Brown Applied Mathematics and Computation 169 (2), 1172-1185, 2005 | 118 | 2005 |
A fuzzy approach for multiresponse optimization: An off-line quality engineering problem YJ Lai, SI Chang Fuzzy Sets and Systems 63 (2), 117-129, 1994 | 109 | 1994 |
An integrated neural network approach for simultaneous monitoring of process mean and variance shifts a comparative study ES Ho, SI Chang International Journal of Production Research 37 (8), 1881-1901, 1999 | 87 | 1999 |
A two-stage neural network approach for process variance change detection and classification SI Chang, ES Ho International Journal of Production Research 37 (7), 1581-1599, 1999 | 75 | 1999 |
Geometric Modeling of Highways Using Global Positioning System Data and B-Spline Approximation D Ben-Arieh, S Chang, M Rys, G Zhang Journal of Transportation Engineering 130 (5), 632-636, 2004 | 72 | 2004 |
Optimal two-variable accelerated degradation test plan for gamma degradation processes TR Tsai, WY Sung, YL Lio, SI Chang, JC Lu IEEE Transactions on Reliability 65 (1), 459-468, 2015 | 69 | 2015 |
Multivariate EWMA control charts using individual observations for process mean and variance monitoring and diagnosis G Zhang, SI Chang International Journal of Production Research 46 (24), 6855-6881, 2008 | 63 | 2008 |
MLCPM: A process monitoring framework for 3D metal printing in industrial scale M Amini, SI Chang Computers & Industrial Engineering 124, 322-330, 2018 | 60 | 2018 |
Computer vision based non-contact surface roughness assessment using wavelet transform and response surface methodology SI Chang, JS Ravathur Quality Engineering 17 (3), 435-451, 2005 | 53 | 2005 |
Identifying customer preferences in quality function deployment using group decision-making techniques YJ Lai, E Ho, SI Chang Integrated Product and Process Development–Methods, Tools, and Technologies …, 1998 | 48 | 1998 |
On monitoring of multiple non-linear profiles SH Chou, SI Chang, TR Tsai International Journal of Production Research 52 (11), 3209-3224, 2014 | 38 | 2014 |
A layer-by-layer quality monitoring framework for 3D printing MN Bisheh, SI Chang, S Lei Computers & Industrial Engineering 157, 107314, 2021 | 37 | 2021 |
Some properties of multiresponse D-optimal designs SI Chang Journal of Mathematical Analysis and Applications 184 (2), 256-262, 1994 | 35 | 1994 |
Statistical process control for monitoring nonlinear profiles: A six sigma project on curing process SI Chang, TR Tsai, DKJ Lin, SH Chou, YS Lin Quality Engineering 24 (2), 251-263, 2012 | 32 | 2012 |
A review of machine learning approaches for high dimensional process monitoring M Amini, S Chang IISE annual conference and expo, 390-395, 2018 | 30 | 2018 |
An algorithm to generate near D-optimal designs for multiple response surface models S Chang IIE transactions 29 (12), 1073-1081, 1997 | 30 | 1997 |