Chun-Chin Hsu

发表

Reclaim wafer defect classification using Large-scale BPNs with TensorFlow

F. Tien, Chun-Yuan Cheng, Mei-Ling Liu, 2017 .

Formulating grip strength and key pinch strength prediction models for Taiwanese: a comparison between stepwise regression and artificial neural networks

Cheng-Lung Lee, Chun-Chin Hsu, Yuan-Shyi Peter Chiu, 2015, J. Ambient Intell. Humaniz. Comput..

A time-varying weights tuning method of the double EWMA controller

Chun-Chin Hsu, Chao-Ton Su, C. Su, 2004 .

An efficient ICA-DW-SVDD fault detection and diagnosis method for non-Gaussian processes

Manoj Kumar Tiwari, Chun-Chin Hsu, Mu-Chen Chen, 2016 .

A process monitoring scheme based on independent component analysis and adjusted outliers

Chun-Chin Hsu, Long-Sheng Chen, Cheng-Hsiang Liu, 2010 .

A novel process monitoring approach with dynamic independent component analysis

Chun-Chin Hsu, Mu-Chen Chen, Long-Sheng Chen, 2010 .

Adaptive Kernel Principal Component Analysis (KPCA) for Monitoring Small Disturbances of Nonlinear Processes

Chun-Chin Hsu, Mu-Chen Chen, Chun-Yuan Cheng, 2010 .

Optimization of the Optical Whiteness Ratio for Flexible Display by Using Taguchi's Dynamic Approach

Chun-Chin Hsu, Chao-Ton Su, Chia-Ming Lin, 2012, IEEE Transactions on Semiconductor Manufacturing.

CUSTOMER SEGMENTATION AND CLASSIFICATION FROM BLOGS BY USING DATA MINING: AN EXAMPLE OF VOIP PHONE

Chun-Chin Hsu, Long-Sheng Chen, Mu-Chen Chen, 2009, Cybern. Syst..

An innovative approach for RFID product functions development

Chun-Chin Hsu, Long-Sheng Chen, Chin-Sen Lin, 2011, Expert Syst. Appl..

C-Kano model: a novel approach for discovering attractive quality elements

Chun-Chin Hsu, Long-Sheng Chen, Chin-Sen Lin, 2010 .

Developing a TRIZ-Kano Model for Creating Attractive Quality

Chun-Chin Hsu, Long-Sheng Chen, Pao-Chung Chang, 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

An information granulation based data mining approach for classifying imbalanced data

Chun-Chin Hsu, Long-Sheng Chen, Mu-Chen Chen, 2008, Inf. Sci..

Applying the ICA-Based Approach to Detect Faults in Processes

Manoj Kumar Tiwari, Chun-Chin Hsu, Mu-Chen Chen, 2015 .

Automatic Reclaimed Wafer Classification Using Deep Learning Neural Networks

Chun-Chin Hsu, Fang-Chih Tien, Po-Chou Shih, 2020, Symmetry.

Developing a robust classifier for fault detection in production environment

Chun-Chin Hsu, Long-Sheng Chen, Li-Fei Chen, 2009 .

Intelligent ICA-SVM fault detector for non-Gaussian multivariate process monitoring

Chun-Chin Hsu, Long-Sheng Chen, Mu-Chen Chen, 2010, Expert Syst. Appl..

On the Classification of Imbalanced Datasets

H. S. Sheshadri, Kok Wai Wong, C. Lee Giles, 2012 .

Integrating independent component analysis and support vector machine for multivariate process monitoring

Chun-Chin Hsu, Long-Sheng Chen, Mu-Chen Chen, 2010, Comput. Ind. Eng..

An Adaptive Forecast-Based Chart for Non-Gaussian Processes Monitoring: With Application to Equipment Malfunctions Detection in a Thermal Power Plant

Chun-Chin Hsu, Chao-Ton Su, Chun-Chin Hsu, 2011, IEEE Transactions on Control Systems Technology.

Fault detection based on ICA-GLR for non-Gaussian industrial processes

Chun-Chin Hsu, Fang-Chih Tien, Chun-Yuan Cheng, 2021 .