一、學術期刊論文

1. Roshana Mukhtar, Chuan-Yu Chang, Muhammad Asif Zahoor Raja, Naveed Ishtiaq Chaudhary, Chi-Min Shu, 2024, Novel nonlinear fractional order Parkinson's disease model for brain electrical activity rhythms: Intelligent adaptive Bayesian networks, CHAOS SOLITONS & FRACTALS, Vol.180. (SCIE)
2. Aneela Kausar, Chuan-Yu Chang, Muhammad Asif Zahoor Raja, Aneela Zameer and Muhammad Shoaib, 2024, Novel design of recurrent neural network for the dynamical of nonlinear piezoelectric cantilever mass–beam model, The European Physical Journal Plus, Vol.139. (SCI)
3. Maryam Pervaiz Khan, Chuan-Yu Chang, Muhammad Asif Zahoor Raja, Muhammad Shoaib, 2023, Novel design of nonlinear autoregressive with exogenous noise-based intelligent networks for dynamics of MHD Casson–Williamson models involving heat generation and viscous dissipation, Numerical Heat Transfer, Part B: Fundamentals. (SCI)
4. Venkatesan Rajinikanth, P. M. Durai Raj Vincent, C. N. Gnanaprakasam, Kathiravan Srinivasan, and Chuan-Yu Chang, 2023, Brain Tumor Class Detection in Flair/T2 Modality MRI Slices Using Elephant-Herd Algorithm Optimized Features, Diagnostics, Vol.13, No.1832, pp.1-16. (SCI)
5. Chuan-Wang Chang, Chuan-Yu Chang*, Yuan-Yi Lin, Wei-Wen Su, and Henry Shen-Lih Chen, 2023, A Glaucoma Detection System Based on Generative Adversarial Network and Incremental Learning, Applied Sciences, Vol.13, pp.1-20. (SCIE)
6. Sanchit Vijay, Thejineaswar Guhan, Kathiravan Srinivasan, PM Durai Raj Vincent, Chuan-Yu Chang, 2023, MRI brain tumor segmentation using residual Spatial Pyramid Pooling-powered 3D U-Net, Frontiers in Public Health, Vol.11, pp.1-8. (SCIE)
7. Venkatesan Rajinikanth, PM Durai Raj Vincent, Kathiravan Srinivasan, G Ananth Prabhu, Chuan-Yu Chang, 2023, A framework to distinguish healthy/cancer renal CT images using the fused deep features, Frontiers in Public Health, Vol.11, pp.1-11. (SCI)
8. Ade Irma Suryani1, Chuan-Wang Chang, Yu-Fan Feng, Tin-Kwang Lin, Chih-Wen Lin, Jen-Chieh Cheng, Chuan-Yu Chang, 2022, Lung Tumor Localization and Visualization in Chest X-Ray Images Using Deep Fusion Network and Class Activation Mapping, IEEE Access.
9. Chuan-Yu Chang, You-Da Su and Wei-Yi Li, 2022, Tire Bubble Defect Detection Using Incremental Learning, Applied Sciences, Vol.12, pp.1-12. (SCI)
10. Ravi Shekhar Tiwari, Tapan Kumar Das, Kathiravan Srinivasan, Chuan-Yu Chang, 2022, Conceptualising a channel-based overlapping CNN tower architecture for COVID-19 identification from CT-scan images, Scientific Reports, Vol.12, No.1, pp.1-15. (SCI)
11. Chih-Chung. Hsu, Li-Wei Kang, Shih-Yu Chen, I-Shan Wang, Ching-Hao Hong, Chuan-Yu Chang, 2022, Deep learning-based vehicle trajectory prediction based on generative adversarial network for autonomous driving applications, MULTIMEDIA TOOLS AND APPLICATIONS. (SCI)
12. R. Nandhini Abirami , 1 P. M. Durai Raj Vincen, Kathiravan Srinivasan, K. Suresh Manic, and Chuan-Yu Chang, 2022, Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging Using Generative Adversarial Networks, Behavioural Neurology, Vol.2022, pp.1-12. (SCI)
13. Mei-Juan Chen, Cheng-An Lee, Yu-Hsiang Tsai, Chieh-Ming Yang, Chia-Hung Yeh, Lih-Jen Kau, Chuan-Yu Chang, 2022, Efficient Partition Decision Based on Visual Perception and Machine Learning for H.266/Versatile Video Coding, IEEE Access, Vol. 10, pp.42141-42150. (SCI)
14. M Akshay Kumaar, Duraimurugan Samiayya, PM Vincent, Kathiravan Srinivasan, Chuan-Yu Chang, Harish Ganesh, 2022, A Hybrid Framework for Intrusion Detection in Healthcare Systems Using Deep Learning, Frontiers in Public Health, Vol.9, pp.1-18. (SCI)
15. Chuan-Wang Chang, Chuan-Yu Chang*, You-YingLin, 2022, A hybrid CNN and LSTM-based deep learning model for abnormal behavior detection, Multimedia Tools and Applications. (SCI)
16. Ganapathy Pattukandan Ganapathy, Kathiravan Srinivasan, Debajit Datta, Chuan-Yu Chang*, Om Purohit, Vladislav Zaalishvili, and Olga Burdzieva, 2022, Rainfall Forecasting Using Machine Learning Algorithms for Localized Events, Computers, Materials & Continua. (SCI)
17. Vinayak Ravi Joshi, Kathiravan Srinivasan, Durai Raj Vincent P M, Venkatesan Rajinikanth, Chuan-Yu Chang, 2022, A Multi-Stage Heterogeneous Stacking Ensemble Model for Augmented Infant Cry Classification, Frontiers in Public Health. (SCI)
18. Mahendran, N., Vincent, P.M.D.R., Srinivasan, K., Chuan-Yu Chang, 2021, Improving the Classification of Alzheimer’s Disease Using Hybrid Gene Selection Pipeline and Deep Learning, Frontiers in Genetics. (SCI)
19. Senthil Kumar Narayanasamy, Kathiravan Srinivasan, Saeed Mian Qaisar, and Chuan-Yu Chang, 2021, Ontology-Enabled Emotional Sentiment Analysis on COVID-19 Pandemic-Related Twitter Streams, Frontiers in Public Health. (SCI)
20. Akshay Kumaar M., Duraimurugan Samaiayya, P. M. Durai Raj Vincent, Kathiravan Srinivasan, Chuan-Yu Chang, and Harish Ganesh, 2021, A Hybrid Framework for Intrusion Detection in Healthcare Systems using Deep Learning, Frontiers in Public Health. (SCI)
21. Chuan-Yu Chang, Sweta Bhattacharya, P. M. Durai Raj Vincent, Kuruva Lakshmanna, Kathiravan Srinivasan, 2021, An Efficient Classification of Neonates Cry using Extreme Gradient Boosting-assisted Grouped-Support-Vector Network, Journal of Healthcare Engineering. (SCI)
22. Shwetank Dattatraya Mamidwar, Akshith R, Zainab Shakruwala, Utkarsh Chadha, Kathiravan Srinivasan, Chuan-Yu Chang, 2021, Recent Advances on IoT-assisted Wearable Sensor Systems for Healthcare Monitoring, Biosensors, Vol.11, No.372. (SCI)
23. Jayakumar Kaliappan, Kathiravan Srinivasan, Saeed M. Qaisar, Karpagam Sundararajan, Chuan-Yu Chang, and Suganthan C, 2021, Performance Evaluation of Regression Models for the Prediction of the COVID-19 Reproduction Rate, Frontiers in Public Health, Vol. 9. (SCI)
24. Surya Krishnamurthy, Kathiravan Srinivasan, Saeed Mian Qaisar, P. M. Durai Raj Vincent, Chuan-Yu Chang, 2021, Evaluating Deep Neural Network Architectures with Transfer Learning for Pneumonitis Diagnosis, Computational and Mathematical Methods in Medicine. (SCI)
25. S. Ramaneswaran, Kathiravan Srinivasan, P. M. Durai Raj Vincent, and Chuan-Yu Chang, 2021, Hybrid Inception v3 XGBoost Model for Acute Lymphoblastic Leukemia Classification, Computational and Mathematical Methods in Medicine. (SCI)
26. Jie-Ru Lin, Mei-Juan Chen, Yi-Sheng Ciou, Chia-Hung Yeh, Min-Hui Lin, Lih-Jen Kau, and Chuan-Yu Chang, 2021, Fast Texture Coding Based on Spatial, Temporal and Inter-view Correlations for 3D Video Coding, IEEE Access. (SCI)
27. Shih-Chang Hsia, Szu-Hong Wang, Chuan-Yu Chang, 2021, Convolution neural network with low operation FLOPS and high accuracy for image recognition, Journal of Real-Time Image Processing. (SCI)
28. Ashwini K, P. M. Durai Raj Vincent, Kathiravan Srinivasan, Chuan-Yu Chang, 2021, Deep Learning Assisted Neonatal Cry Classification via Support Vector Machine Models, Frontiers in Public Health, Vol.9, pp.1-10. (SCI)
29. Shih-Chang Hsia , Szu-Hong Wang, Wei-Chun Cheng, Chuan-Yu Chang, 2021, Intelligent Blowgun Game Scoring Recognition System Based on Computer Vision, IEEE Access, Vol.9, pp.73703-73712. (SCI)
30. Nandhini Abirami R, Durai Raj Vincent P M, Kathiravan Srinivasan, Usman Tariq, Chuan-Yu Chang*, 2021, Deep CNN and Deep GAN in Computational Visual Perception-Driven Image Analysis, Complexity, Vol. 2021, pp.1-30. (SCI)
31. Chia-Hung Yeh, Chu-Han Lin, Li-Wei Kang, Chih-Hsiang Huang, Min-Hui Lin, Chuan-Yu Chang, Chua-Chin Wang, 2021, Lightweight Deep Neural Network for Joint Learning of Underwater Object Detection and Color Conversion, IEEE Transactions on Neural Networks and Learning Systems. (SCI)
32. Jie-Ru Lin, Mei-Juan Chen, Chia-Hung Yeh, Yong-Ci Chen, Lih-Jen Kau, Chuan-Yu Chang, and Min-Hui Lin, 2021, Visual Perception Based Algorithm for Fast Depth Intra Coding of 3D-HEVC, IEEE Transactions on Multimedia. (SCI)
33. Chih-Chi Kuang, Kuei Min Wang, Lin Hui, Chuan-Yu Chang, Kuang Hui Chiu, 2021, Data analysis of simulated WoT-based anti-crime scenario, International Journal of Web and Grid Services. (SCI)
34. Ching-Lung Chang, Yi-Lin Tsai, Chuan-Yu Chang, Shuo-Tsung Chen, 2021, Emergency Evacuation Planning via the Point of View on the Relationship Between Crowd Density and Moving Speed, Wireless Personal Communications, Vol. 1. (SCI)
35. Tapan Kumar Das , Pradeep Kumar Roy , Mohy Uddin , Kathiravan Srinivasan Chuan-Yu Chang, * and Shabbir Syed-Abdul, 2021, Early Tumor Diagnosis in Brain MR Images via Deep Convolutional Neural Network Model, Computers, Materials & Continua, Vol.68, No.2, pp. 2413-2429. (SCI)
36. Debajit Datta , Pramod Kumar Maurya , Kathiravan Srinivasan , Chuan-Yu Chang, *, Rishav Agarwal, Ishita Tuteja and V. Bhavyashri Vedula, 2021, Eye Gaze Detection Based on Computational Visual Perception and Facial Landmarks, Computers, Materials & Continua, Vol.68, No.2, pp.2545-2561. (SCI)
37. Nivedhitha Mahendran, Durai Raj, Kathiravan Srinivasan and Chuan-Yu Chang, 2020, Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues and Future Research Directions, Frontiers in Genetics. (SCI)
38. Shih-Chang Hsia, Szu-Hong Wang, Bo-Yung Wang, and Chuan-Yu Chang, 2020, Intelligent Surrounding Recognition for Robot Direction Control, IEEE ACCESS, Vol.8, pp.200275-200282. (SCI)
39. Ching-Ju Chen; Ya-Yu Huang; Yuan-Shuo Li; Chuan-Yu Chang; Yueh-Min Huang, 2020, An AIoT Based Smart Agricultural System for Pests Detection, IEEE Access, Vol.8. (SCI)
40. Dhivya Elavarasan, Durai Raj Vincent P M, Kathiravan Srinivasan, and Chuan-Yu Chang, 2020, A Hybrid CFS Filter and RF-RFE Wrapper-Based Feature Extraction for Enhanced Agricultural Crop Yield Prediction Modeling, Agriculture, Vol.10, No.400. (SCI)
41. Chien-Chou Lin, Wei-Lung Mao, Teng-Wen Chang, Chuan-Yu Chang, and Salah Sohaib Saleh Abdullah, 2020, Fast Obstacle Detection Using 3D-to-2D LiDAR Point Cloud Segmentation for Collision-free Path Planning, Sensors and Materials, Vol.32, No.7, pp. 2365–2374. (SCI)
42. Shih-Yu Chen, Chuan-Yu Chang, Cheng-Syue OU, and Chou-Tien Lien, 2020, Detection of Insect Damage in Green Coffee Beans Using VIS-NIR Hyperspectral Imaging, Remote Sensing, Vol. 12, No.2348. (SCI)
43. Darsh Patel, Kathiravan Srinivasan, Chuan-Yu Chang, Takshi Gupta, and Aman Kataria, 2020, Network Anomaly Detection inside Consumer Networks—A Hybrid Approach, Electronics, Vol. 9, No.923. (SCI)
44. Chia-Hung Yeh, Yao-Pao Huang, Chin-Yang Lin, Chuan-Yu Chang, 2020, Transfer2Depth: Dual Attention Network With Transfer Learning for Monocular Depth Estimation, IEEE ACCESS, Vol.8, pp.86081-86090. (SCI)
45. Keng-Hao Liu, Chia-Hung Yeh, Juh-Wei Chung, and Chuan-Yu Chang, 2020, A Motion Deblur Method based on Multi-scale High Frequency Residual Image Learning, IEEE ACCESS, Vol.8, pp.66025-66036. (SCI)
46. Kathiravan Srinivasan, Nivedhitha Mahendran, Durai Raj Vincent, Chuan-Yu Chang, and Shabbir Syed-Abdul, 2020, Realizing an Integrated Multistage Support Vector Machine Model for Augmented Recognition of Unipolar Depression, Electronics, Vol.9, No.647. (SCI)
47. Chuan-Yu Chang, Kathiravan Srinivasan, Wei-Chun Wang, Ganapathy Pattukandan, Durai Raj Vincent and N Deepa, 2020, Quality Assessment of Tire Shearography Images via Ensemble Hybrid Faster Region-Based ConvNets, Electronics, Vol.9, No. 45. (SCI)
48. Chuan-Yu Chang, Kathiravan Srinivasan, Mao-Cheng Chen and Shao-Jer Chen, 2020, SVM-Enabled Intelligent Genetic Algorithmic Model for Realizing Efficient Universal Feature Selection in Breast Cyst Image Acquired via Ultrasound Sensing Systems, Sensors, Vol.20. (SCI)
49. C Priya, P M Durai Raj Vincent, Kathiravan Srinivasan, Vishal Sharma, Chuan-Yu Chang, Daniel Gutiérrez Reina, 2019, Emotion AI-Driven Sentiment Analysis: A Survey, Future Research Directions And Open Issues, Applied Sciences. (SCI)
50. Celestine Iwendi, P Suresh, M Revathi, Kathiravan Srinivasan, Chuan-Yu Chang, 2019, An Efficient and Unique TF/IDF Algorithmic Model-Based Data Analysis for Handling Applications with Big Data Streaming, Electronics. (SCI)
51. Nivedhitha Mahendran, Durai Raj Vincent, Srinivasan Kathiravan, Chuan-Yu Chang, Akhil Garg, Liang Gao, Daniel Gutiérrez Reina, 2019, Sensor-Assisted Weighted Average Ensemble Model for Detecting Major Depressive Disorder, Sensors. (SCI)
52. N Deepa, K Ganesan, Kathiravan Srinivasan, Chuan-Yu Chang, 2019, Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset, Sustainability. (SCI)
53. Chuan-Yu Chang, Kathiravan Srinivasan, Hui-Ya Hu, Yuh-Shyan Tsai, Vishal Sharma, Punjal Agarwal, 2019, SFFS–SVM based prostate carcinoma diagnosis in DCE-MRI via ACM segmentation, Multidimensional Systems and Signal Processing, pp.1-22. (SCI)
54. N Deepa, Durai Raj Vincent P M, Senthil Kumar N, Kathiravan Srinivasan, Chuan-Yu Chang, and Ali Kashif Bashir, 2019, An Efficient Ensemble VTOPES Multi-Criteria Decision-Making Model for Sustainable Sugarcane Farms, Sustainability, Vol.11. (SCI)
55. Ching-Lung Chang, Chuan-Yu Chang, Shuo-Tsung Chen, Shi-Yi Tu, Kuan-Yi Ho, 2019, Optimization-based Time Slot Assignment and Synchronization for TDMA MAC in Industrial Wireless Sensor Network, IET Communications. (SCI)
56. Chia-Hung Yeh, Ren-Fu Tseng, Mei-Juan Chen and Chuan-Yu Chang, 2019, Optimal I-frame assignment based on Nash bargaining solution in HEVC, APSIPA Transactions on Signal and Information Processing, Vol.8. (EI)
57. Kuang-Han Tai, Mei-Juan Chen, Jie-Ru Lin, Ren-Yuan Huang, Chia-Hung Yeh, Chia-Yen Chen, Shinfeng D. Lin, Ro-Min Weng, Chuan-Yu Chang, 2019, Acceleration for HEVC Encoder by Bimodal Segmentation of Rate-Distortion Cost and Accurate Determination of Early Termination and Early Split, IEEE ACCESS, Vol.7, pp.45259-45273. (SCI)
58. Yung‑Hui Chen, Wei‑Chun Lee, Chun‑Hsiung Tseng, Lawrence Y. Deng, Chuan‑Yu Chang, Long‑He Lee, 2019, Cognitive learning performance assessment and analysis with CSCL applied on the NetGuru platform and CSPL applied on the TAoD platform for the network experiment class, The Journal of Supercomputing, Vol. 76, pp.16-46. (SCI)
59. Kathiravan Srinivasan, Desh Deepak Pathak, Chuan-Yu Chang§, 2018, Robust design and validation of balanced tournaments via Hamiltonian path, Journal of Information and Optimization Sciences, Vol.39, No.8. (SCIE)
60. Ching-Lung Chang , Chuan-Yu Chang , Zhi-Yuan Tang and Shuo-Tsung Chen, 2018, High-Efficiency Automatic Recharging Mechanism for Cleaning Robot Using Multi-Sensor, Sensors, Vol. 18, No.11, pp.3911. (SCI)
61. Kathiravan Srinivasan, Chuan-Yu Chang, Chao-Hsi Huang, Min-Hao Chang, Anant Sharma, Avinash Ankur Corresponding Author: Chao-Hsi Huang, 2018, An Efficient Implementation of Mobile Raspberry Pi Hadoop Clusters for Robust and Augmented Computing Performance, Journal of Information Processing Systems, Vol.14, No.4, pp.989~1009. (SCIE)
62. Chuan-Yu Chang, Kathiravan Srinivasan, Shao-Jer Chen, Mao-Syuan Chang, and Vishal Sharma, 2018, An Efficient SVM Based Lymph Node Classification Approach Using Intelligent Communication Ant Colony Optimization, Journal of Medical Imaging and Health Informatics, Vol. 8, No. 5, pp.1077–1086. (SCI)
63. Chuan-Yu Chang, Chuan-Wang Chang, S. Kathiravan, Chen Lin & Szu-Ta Chen, 2017, DAG-SVM based infant cry classification system using sequential forward floating feature selection, Multidimensional Systems and Signal Processing, Vol.28, No.3, pp.961–976. (SCI)
64. Qing-Qiang Chen, Chuan-Yu Chang, 2014, A robust noise removal algorithm with consideration of contextual information, Multidimensional Systems and Signal Processing, An International Journal, Vol. 25, No. 3, pp.611-620. (SCI)
65. Chuan-Yu Chang, Yuh-Shyan Tsai, Chuan-Wang Chang, Cheng-Min Fan, 2014, Prostate Diseases Diagnosis in Power Doppler Sonography, Biomedical Engineering: Applications, Basis and Communications, Vol.26, No.4, pp.1440005-1 - 10. (SCI)
66. Chuan-Yu Chang, Chuan-Wang Chang, Ya-Chi Huang, Chien-Chuan Ko, 2014, Automatic Breast Cancer Assessment in HER-2/neu Immunohistochemistry, Biomedical Engineering: Applications, Basis and Communications, Vol.26, No.4, pp.1440002-1 - 8. (SCI)
67. Chuan-Yu Chang, Chuan-Wang Chang, Jun-Ying Zheng, and Pau-Choo Chung, 2013, Physiological Emotion Analysis Using Support Vector Regression, Neurocomputing, Vol.122, pp.79-87. (SCI)
68. Chuan-Yu Chang, Chih-Chin Lai, C.-T. Lai, S.-J. Chen, 2013, Integrating PSONN and Boltzmann function for feature selection and classification of lymph nodes in ultrasound images, Journal of Visual Communication and Image Representation, Vol.24, No.1, pp.23-30. (SCI)
69. Chuan-Yu Chang, Heng-Yi Liao, 2013, Automatic Facial Spots and Acnes Detection System, Journal of Cosmetics, Dermatological Sciences and Applications, Vol.3, pp.28-35.
70. Chuan-Yu Chang, Chuan-Wang Chang and Jia-Sin Li, 2013, Multi-view Facial Feature Extraction, Information-An International Interdisciplinary Journal, Vol.11, No.1, pp.191-204. (SCI)
71. Shao-Jer Chen, Chun-Hung Lin, Chuan-Yu Chang, Ku-Yaw Chang, Hsu-Chueh Ho, Shih-Hsuan Hsiao, Chih-Wen Lin, Jeh-En Tzen, Yen-Ting Chen, Hong-Ming Tsai, 2012, Characterizing the major sonographic textural difference between metastatic and common benign lymph nodes using support vector machine with histopathologic correlation, Clinical Imaging, Vol.36, No.4, pp.353-359. (SCI)
72. HungJen Wang, Chuan-Yu Chang, Ru-Hao Jian, 2011, Semantic Real-World Image Classification for Image Retrieval with Fuzzy-ART Neural Network, Neural Computing and Applications. (SCI)
73. Chuan-Yu Chang, Pau-Choo Chung, Yong-Cheng Hong, and Chin-Hsiao Tseng, 2011, A Neural Network for Thyroid Segmentation and Volume Estimation in CT Images, IEEE Computational Intelligence Magazine, Vol.6, No.4, pp.43-55. (SCI)
74. Chuan-Yu Chang, Chuan-Wang Chang, and Ching-Yu Hsieh, 2011, Applications of Block Linear Discriminant Analysis for Face Recognition, Journal of Information Hiding and Multimedia Signal Processing, Vol.2, No.2, pp.259-269. (其他)
75. Chuan-Yu Chang, Yuh-Shyan Tsai, I-Lien Wu, 2011, Integrating Validation Incremental Neural Network And Radial-Basis Function Neural Network For Segmenting Prostate In Ultrasound Images, International Journal of Innovative Computing, Information and Control, Vol.7, No.6, pp.3035-2046. (SCI)
76. Chun-Hsi Li, Chuan-Yu Chang, MuDer Jeng, 2011, Applying Regional Level-Set Formulation to Post-Sawing Four-element LED Wafer Inspection, IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews., Vol. 41, No. 6, pp.842-853. (SCI)
77. Shao-Jer Chen, Chuan-Yu Chang, Ku-Yaw Chang, Jeh-En Tzeng, Yen-Ting Chen, Chang-Kuo Wei, 2010, Classification of The Thyroid Nodules Based On Characteristic Sonographic Textural Feature And Correlated Histopathology Using Hierarchical Support Vector Machines, Ultrasound in Medicine and Biology, Vol.36, No.12, pp.2018-2026. (SCI)
78. Chuan-Yu Chang, Hung-Jen Wang, Sheng-Jyun Su, 2010, Copyright authentication for images with a full counter-propagation neural network, Expert Systems with Applications, Vol.37, No.12, pp.7639-7647. (SCI)
79. Chuan-Yu Chang, Hung-Jen Wang, and Chi-Fang Li, 2010, Image Content Analysis Using Modular RBF Neural Network, Journal of Computers, Vol.21, No.2, pp.39-52.
80. Chuan-Yu Chang, Ming-Fong Tsai, and Shao-Jer Chen, 2010, Application of Support-Vector-Machine-Based Method for Feature Selection and Classification of Thyroid Nodules in Ultrasound Images, Pattern Recognition, Vol. 43, pp.3493-3506. (SCI)
81. 張傳育, 2010, 應用模組化半徑基底函數類神經網路於影像語意內容分析, 工程科技通訊, No.104, pp.105-109. (其他)
82. Chuan-Yu Chang, Yue-Fong Lei, Chin-Hsiao Tseng and Shyang-Rong Shih, 2010, Thyroid Segmentation and Volume Estimation in Ultrasound Images, IEEE Transactions on Biomedical Engineering, Vol.57, No.6, pp.1348-1357. (SCI)
83. Chuan-Yu Chang, Hung-Jen Wang, Shif-Yu Fu, 2010, Texture Image Classification using Modular RBF Neural Networks, Journal of Electronic Imaging, Vol. 19, No. 1, pp.1013013-1-11. (SCI)
84. Chuan-Yu Chang, Hsiang-Yi Liu, Chin-Hsiao Tseng, and Shyang-Rong Shih, 2010, Computer-Aided Diagnosis for Thyroid Graves’ Disease in Ultrasound Images, Biomedical Engineering: Applications, Basis and Communications, Vol.22, No.2, pp.91-99. (SCI)
85. Chuan-Yu Chang, Hsin-Cheng Huang, and Shao-Jer Chen, 2010, Automatic Thyroid Nodule Segmentation and Component Analysis in Ultrasound Images, Biomedical Engineering: Applications, Basis and Communications, Vol.22, No.3, pp.81-89. (SCI)
86. Chuan-Yu Chang and Zong-Yu Tsai, 2009, A Figure Extraction and Synthesis System Using Learning Vector Quantization Neural Networks, Far East Journal of Experimental and Theoretical Artificial Intelligence, Vol. 4, No. 2, pp. 73-87. (其他)
87. Chuan-Yu Chang, Chun-Hsi Li, Yung-Chi Chang, MuDer Jeng, 2009, Wafer defect inspection by neural analysis of region features, Journal of Intelligent Manufacturing. (SCI)
88. Chuan-Yu Chang, Hung-Jen Wang and Wen-Chih Shen, 2009, Copyright-Proving Scheme for Audio with Counter-propagation Neural Networks, Digital Signal Processing, Vol.20, pp.1087-1101. (SCI)
89. Chuan-Yu Chang and Hung-Rung Hsu, 2009, Application of Principal Component Analysis to a Radial Basis Function Committee Machine for Face Recognition, International Journal of Innovative Computing, Information and Control, Vol. 5, No. 11, pp.4145-4154. (SCI)
90. Chuan-Yu Chang, Hung-Jen Wang, Chi-Fang Li, 2009, Semantic Analysis of Real-world Images Using Support Vector Machine, Expert Systems With Applications, Vol.36, No.7, pp.10560-10569. (SCI)
91. Chuan-Yu Chang and Ching-Yu Hsieh, 2009, Block LDA and Gradient Image for Face Recognition, Lecture Notes in Computer Science, Vol.5579, pp.94-102. (其他)
92. Chuan-Yu Chang, Hung-Jen Wang, Sheng-Wen Pan, 2009, A Robust DWT-based Copyright Verification Scheme with Fuzzy ART, Journal of Systems and Software, Vol.82, pp.1906-1915. (SCI)
93. Chang, Chuan-Yu; Li, Chun-Hsi; Lin, Si-Yan; Jeng, MuDer, 2009, Application of Two Hopfield Neural Networks for Automatic Four-element LED Inspection, IEEE transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews, Vol.39, No.3, pp.352-365. (SCI)
94. Chuan-Yu Chang, ChunHsi Li, Jia-Wei Chang, MuDer Jeng, 2009, An Unsupervised Neural Network Approach for Automatic Semiconductor Wafer Defect Inspection, Expert Systems With Applications, Vol.36, No.1, pp.950-958. (SCI)
95. Chih-Chin Lai, and Chuan-Yu Chang, 2009, A Hierarchical Evolutionary Algorithm for Automatic Medical Image Segmentation, Expert Systems With Applications, Vol.36, No.3, pp.248-259. (SCI)
96. Chuan-Yu Chang, Chun-Hsi Li, Chin-Huang Chang and MuDer Jeng, 2008, Learning Vector Quantization Neural Networks for LED Wafer Defect Inspection, International Journal of Innovative Computing, Information and Control, Vol.4, No.10, pp.2565-2579. (SCI)
97. Chuan-Yu Chang, Chuan-Wang Chang, Si-Yan Lin, and MuDer Jeng, 2008, Integrated Two Hopfield Neural Networks for Automatic LED Defect Inspection, Journal of the Chinese Society of Mechanical Engineers, Vol.29, No.1, pp..45- 51. (SCI, EI)
98. Chuan-Yu Chang, and Da-Feng Zhuang, 2007, A Fuzzy-Based Learning Vector Quantization Neural Network for Recurrent Nasal Papilloma Detection, IEEE Transactions on Circuits and Systems I, Vol.54, No.12, pp.2619-2627. (SCI, EI)
99. Chuan-Yu Chang and Hong-Hao Chang, 2006, Adaptive Color Space Switching Based Approach for Face Tracking, Lecture Notes in Computer Science, Vol. 4233, pp.244-252. (SCI, EI)
100. Chuan-Yu Chang, Hung-Jen Wang and Si-Yan Lin, 2006, Simulation Studies of Two-layer Hopfield Neural Networks for Automatic Wafer Defect Inspection, Lecture Notes in Computer Science, Vol. 4031, pp. 1119–1126. (SCI, EI)
101. Chuan-Yu Chang, 2006, A Contextual-based Hopfield Neural Network for Medical Image Edge Detection, Optical Engineering, Vol. 45, No. 3, pp.037006-1~037006-9. (SCI, EI)
102. Chuan-Yu Chang and Chia-Wei Chang, 2006, A Hierarchical Self-organizing Neural Network for Automatic Wafer Defect Inspection, Materials Science Forum, Vol. 507, pp. 1147-1152. (SCI, EI)
103. Chuan-Yu Chang, 2005, Spatiotemporal-Hopfield Neural Cube for Diagnosing Recurrent Nasal Papilloma, Medical & Biological Engineering & Computing, Vol. 43, pp. 16-22. (SCI, EI)
104. Chung, Pau-Choo, Chang, Chuan-Yu, Chu Woei-Chyn, andLin, Hsiu-Chen, 2003, Reconstruction of Medical Images under Different Image Acquisition Angles, IEEE Transactions on Systems,Man,and Cybernetics, Vol. 33, No. 3, pp. 503-509. (SCI, EI)
105. Chang, S. C., Lai, P.H., Chen, W.L., Weng, H.H., Ho, J.T., JWang, J.S., Chang, Chuan-Yu , Pan, H.B., Yang, C.F., 2002, Diffusion-weighted MRI features of brain abscess and cystic or necrotic brain tumors. Comparison with conventional MRI, Clinical Imaging, Vol. 26, No. 4, pp. 227-236. (SCI, EI)
106. Chang, Chuan-Yu , Chung, Pau-Choo, and Lai, Ping-Hong, 2002, Using a Spatiotemporal Neural Network on Dynamic Gadolinium-enhanced MR Images for Diagnosing Recurrent Nasal Papilloma, IEEE Trans. On Nuclear Science, Vol. 49, No. 1, pp. 225-238. (SCI, EI)
107. Lai PH, Li JY, Chang,Chuan-Yu, Wu MT, Lo YK, Chung PC., 2001, Sensitivity of diffusion-weighted magnetic resonance imaging in the diagnosis of acute lacunar infarcts, J Formos Med Assoc, Vol. 100, No. 6, pp. 370-376. (SCI, EI)
108. Chang, Chuan-Yu and Chung, Pau-Choo, 2001, Medical Image Segmentation Using a Contextual-Constraint Based Hopfield Neural Cube, Image and Vision Computing, Vol. 19, pp. 669-678. (SCI, EI)
109. Chung, Pau-Choo , Chang, Chuan-Yu and Lin, Hsiu-Chen, 2000, Nasopharyngeal medical image registration under different modality medical images, Chinese Journal of Medical and Biological Engineering, Vol. 20, No. 2, pp. 103-113. (EI)
110. Chang,Chuan-Yu, Chung,Pau-Choo , Huang,Wen-Chen and Ping-Hong Lai, 2000, An Eigen-support Differential Operator to Fuse CT and MR Images for Nasopharyngeal Carcinoma Diagnosis, Biomedical engineering- applications,basis & communications, Vol. 12, pp. 101-109. (EI)
111. Chang Chuan-Yu and Chung, Pau-Choo, 2000, Two-layer competitive based Hopfield neural network for medical image edge detection, Optical Engineering, Vol. 39, No. 3, pp. 695-703. (SCI, EI)
112. Jeng, M. D., Chang, Chuan-Yu, 1998, Synchronous Neural Networks for Scheduling Job Shops with Batches, International Journal of Intelligent Control and Systems, Vol. 2, No. 3, pp. 381-391. (EI)
113. Jeng, M. D. ,Chang, Chuan-Yu, 1997, Non-energy neural networks for job-shop scheduling, IEE Electronics Letters, Vol. 33, No. 5, pp. 399-400. (SCI, EI)

1. Chuan-Yu Chang, I-Yao Tseng, and You-Da Su, 2020, f-AnoGAN Application on Components Inspction of Memory Modules, International Computer Symposium 2020, 2020/12/17-19, 成功大學, 台南.
2. 張傳育, 李威億, 蘇祐大, 2020, Tire Bubble Defects Detection Based on Incremental YOLO, 第三十三屆電腦視覺、圖學暨影像處理研討會, 2020/08/16-18, 交通大學、清華大學、中華民國影像處理與圖形識別學會, 新竹.
3. 張傳育, 張閔翔, 蔡語秦, 2020, 基於人臉特徵點追蹤之多人呼吸檢測系統, 第十屆網路智能與應用研討會, 2020/07/31-2020/08/01, 台灣網路智能學會、國立雲林科技大學, 雲林.
4. 張傳育, 李俊穎, 嚴雪綾, 2020, 基於CNN-LSTM之新生兒哭聲偵測與辨識系統, 第十屆網路智能與應用研討會, 2020/07/31-2020/08/01, 台灣網路智能學會、國立雲林科技大學, 雲林.
5. Chuan-Yu Chang, Chih-An Wang, and Yuh-Shyan Tsai, 2018, Two-dimensional TRUS Image and Three-dimensional MRI Prostate Image Fusion System, International Computer Symposium, 2018/12/20-22, National Yunlin University of Science and Technology, Yunlin.
6. Ching-Ju Chen, Yueh-Min Huang, Chuan-Yu Chang, and Yi-Chun Liu, 2018, Exploring the Learning Effectiveness of The STEAM Education of Flying and Assembly of Drone, The Seventh International Conference on Educational Innovation through Technology, 2018/12/11-15, SICET, Auckland.
7. Wen-Fong Wang, Ying-Peng Huang, Chuan-Yu Chang and Ching-Yu Yang, 2018, Micro Physiological Vibration Detection for Human Heartbeats, The Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2018/11/26-28, Tohoku University, Sendai.
8. Chuan-Yu Chang and Hsiang-Chi Liu, 2018, Heart Rate Detection Based on Facial Feature Points Tracking, The Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2018/11/26-28, Tohoku University, Sendai.
9. Chuan-Yu Chang, Man-Ju Cheng, 2018, Application of Machine Learning for Facial Stroke Detection, IEEE The 23rd International Conference on Digital Signal Processing, 2018/11/19-21, IEEE, Shanghai.
10. Chuan-Yu Chang, Tzu-Yang Chen, and Pau-Choo Chung, 2018, Semi-supervised Learning Using Generative Adversarial Networks, IEEE 2018 Symposium Series on Computational Intelligence, 2018/11/18-21, IEEE, Bengaluru.
11. Chan-Yu Chang, Wei-Chun Wang, 2018, Integration of CNN and Faster R-CNN for Tire Bubble Defects Detection, The 13th International Conference on Broad-Band Wireless Computing, Communication and Applications, 2018/10/27-29, Tunghai University, Taichung.
12. Chuan-Yu Chang, Chi-Jui Chen, Ching-Ju Chen, 2018, Application of Independent Component Analysis for Infant Cries Separation, The 21-th International Conference on Network-Based Information Systems, 2018/09/05-07, Comenius University, Bratislava.
13. Chuan-Yu Chang, Fu-Ren Tsai, 2018, Application of Deep Learning for Infant Vomiting and Crying Detection,, 32nd International Conference on Advanced Information Networking and Applications, 2018/05/16-18, IEEE, Krakow.
14. Chuan-Yu Chang, Yu-Hsuan Tai, Jia-Ru Lee, Chih-Hao Hsu, Yi-Chun Lin, Hsiu-Fen Lee, Hung-Sheng Chiu, 2017, Feature Extraction for Infant Crying Detection, The 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2017), 2017/12/01-03, 台灣大學, 台北市.
15. Chuan-Yu Chang, Jhen-Ke Huang, 2017, TIRES DEFECTS DETECTION USING CONVOLUTIONAL NEURAL NETWORKS, 第三十屆電腦視覺、圖學暨影像處理研討會, 2017/08/21-23, 雲林科技大學, 南投.
16. Wai-Chung Chung, Chuan-Yu Chang, Chien-Chuan Ko, 2017, A SVM-based Committee Machine for Prediction of Hong Kong Horse Racing, 2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media), 2017/08/01-04, IEEE, Pattaya.
17. Chuan-Yu Chang, Shih-Kai Hsieh, 2017, WATER-LEVEL DETECTION FOR RIVER SURVEILLANCE USING IMAGE PROCESSING TECHNOLOGIES, 2017數位生活科技研討會, 2017/06/24-25, 嘉義大學, 嘉義.
18. 陳子揚, 張傳育, 2017, 基於VGG19架構卷積神經網路的多層次風格轉化, 第十六屆離島資訊技術與應用研討會, 2017/05/19-20, 澎湖科技大學, 澎湖.
19. Chuan-Yu Chang, Wei-Chen Cao, 2016, Gender recognition and people counting based on deep learning, The 29th Conference on Computer Vision, Graphics, and Image Processing, 2016/08/15-17, 國立臺灣大學資訊工程學系, 基隆長榮桂冠酒店.
20. Chuan-Yu Chang; Hung-Chang Shie, 2016, Application of machine learning to classify surface marker of screw, 2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2016/05/27-30, National Chi Nan University, National Chi Nan University, Nantou.
21. Chuan-Yu Chang, Jia-Jing Li, 2016, Application of Deep Learning for Recognizing Infant Cries, 2016 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 2016/05/27-30, National Chi Nan University, National Chi Nan University, Nantou.
22. Chuan-Yu Chang , Yang-Feng Lai, 2016, User interface design for infant crying translator, 2016 Conference on Information Technology and Application in Outlying Islands(ITAOI), 20160715,, 2016/05/20-21, Shu Te University, Shu Te University, Kaohsiung.
23. Chuan-Yu Chang; Mao-Cheng Chen; Shao-Jer Chen, 2016, Selecting the Universal Features for Breast Lumps with Different Acquisition Parameter Settings, 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2016/03/23-25, HES-SO University & Icare Research Institute, Crans-Montana, pp.924-927.
24. Chuan-Yu Chang, J. M. Lin, 2015, Implementation of Automatic Control System: A Case Study of Rubber Mixing Machine, 2015 Third International Conference on Robot, Vision and Signal Processing (RVSP), 2015/11/18-20, National Kaohsiung University of Applied Sciences, Kaohsiung, pp.18-21.
25. Chuan-Yu Chang, Yu-Chi Hsiao, Szu-Ta Chen, 2015, Application of Incremental SVM Learning for Infant Cries Recognition, 2015 18th International Conference on Network-Based Information Systems (NBiS), 2015/09/02-04, Tamkang University, Taipei, pp.607-610.
26. Chuan-Yu Chang, Hui-Ya Hu, Yuh-Shyan Tsai, 2015, Prostate Cancer Detection in Dynamic MRIs, 2015 IEEE International Conference on Digital Signal Processing, 2015/07/21-24, Nanyang Technology University, Singapore, pp.1279-1282.
27. Chuan-Yu Chang, Jyun-Jie Liao, 2015, Combination of RFID and face recognition for access control system, Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on, 2015/06/06-08, National Taiwan University of Science and Technology, Taipei, pp.470-471.
28. Chuan-Yu Chang, Shu-Fang Cheng, 2015, Implementing an SCORM-based e-learning system for a multinational enterprise, Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on, 2015/06/06-08, National Taiwan University of Science and Technology, Taipei, pp.472-473.
29. Chuan-Yu Chang, Chuan-Huan Chiu, and Yuh-Shyan Tsai, 2014, Prostate Segmentation and Volume Estimation in MRI, International Computer Symposium (ICS), 2014/12/12-14, 台中,東海大學, 台中市,東海大學.
30. Chuan-Yu Chang, Mao-Cheng Chen, Shao-Jer Chen, 2014, A GA-based Features Selection for Breast Lumps under Different Parameter Settings in Sonography System, CVGIP 2014, 2014/08/17-19, 國立台北大學, 屏東,墾丁.
31. Chuan-Yu Chang, Chen Lin, Szu-Ta Chen, 2014, Application of Support Vector Machine for Infant Cry Recognition System, 2014數位生活科技研討會, 2014/06/20-21, 國立高雄大學資訊工程系，國立高雄大學資訊管理學系, 高雄, pp.287-291.
32. Chuan-Yu Chang, Bo-Jyun Liao, Yi-Ting Lin, Yu-Fang Yu, 2013, Application of Support Vector Regression for Physiological Relaxation Assessment, 數位生活與服務導向科技 (DLSD), 2013/12/13-14, 亞洲大學, 台中.
33. Chuan-Yu Chang, Yi-Ping Chang, 2013, Application of Abnormal Sound Recognition System for Indoor Environment, ICICS, 2013/12/10-13, Nanyang Technological University, 台南.
34. Chuan-Yu Chang, Ching-Fong You, Yuh-Shyan Tsai, 2013, Automatic Prostate Cancer Detection Using Blood Flow Information in Power Doppler Ultrasonography, The Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013/10/16-18, IEEE, Beijing.
35. Chuan-Yu Chang, Chuan-Wang Chang, and Min-Chien Chang, 2013, An Embedded 3D Face Recognition System Using a Dual Prism and a Camera, ICGEC 2013, 2013/08/25-27, IEEE, Prague.
36. Chuan-Yu Chang, Ting-Han Hou, Shao-Jer Chen, 2013, Feature Analysis and Abnormal Diagnosis For Breast Lump Under Various System, CVGIP, 2013/08/18-20, 宜蘭大學, 宜蘭.
37. 張傳育, 張怡萍, 林志雄, 2013, 應用於居家環境中之異常聲音辨識系統, 數位生活科技研討會, 2013/06/27-28, 自由軟體研究中心, 雲林.
38. 張傳育, 侯廷翰, 陳紹哲, 陳慶強, 2013, 多個超音波系統下之乳房腫塊特徵分析與異常輔助診斷, 數位生活科技研討會, 2013/06/27-28, 自由軟體研究中心, 雲林.
39. 張傳育, 張明建, 陳慶強, 2013, 利用單攝影機與雙稜鏡於嵌入式平台實現三維人臉辨識系統, 數位生活科技研討會, 2013/06/27-28, 自由軟體研究中心, 雲林.
40. 張傳育, 廖勃鈞, 林奕廷, 游郁芳, 林志雄, 2013, 應用支援向量迴歸於生理放鬆評估系統, 數位生活科技研討會, 2013/06/27-28, 自由軟體研究中心, 雲林.
41. 張傳育, 游青峰, 蔡育賢, 陳慶強, 2013, 用支援向量機於自動化前列腺疾病診斷系統, 數位生活科技研討會, 2013/06/27-28, 自由軟體研究中心，雲科大資工系, 雲林.
42. Chuan-Yu Chang, Mao-Syuan Chang and Shao-Jer Chen, 2011, Application of Ant Colony Optimization for Lymph Node Classification in Ultrasound Images, International Conference on Hybeid Intelligent Systems, 2011/12/05-08, IEEE, Malacca, pp.630-634.
43. Chuan-Yu Chang, Heng-Yi Liao, 2011, Automatic Facial Spot and Acne Detection, The 24th IPPR Conference on Computer Vision, Graphics, and Image Processing, 2011/08/21-23, IPPR, 嘉義,中正大學.
44. Chih-Jung Su, Chun-Rong Huang, Chuan-Yu Chang, Pau-Choo Chung, 2011, A Double Prism Stereo System, The 24th IPPR Conference on Computer Vision, Graphics, and Image Processing, 2011/08/21-23, IPPR, 嘉義,中正大學.
45. 張傳育, 利佳欣, 2011, 多角度人臉特徵點擷取, 第一屆網路智能與應用研討會, 2011/04/29, 高雄大學, 高雄市,高雄大學, pp.668-673.
46. Chuan-Yu Chang, Shang-Cheng Li, Pau-Choo Chung, Jui-Yi Kuo, 2010, A Novel Method for Facial Spots andWrinkles Detection, The Fifth International Conference on Innovative Computing, Information and Control, 2010/12/20-22, ICIC, Xi'an.
47. Chuan-Yu Chang, Jun-Ying Zheng, Chi-Jane Wang, and Pau-Choo Chung, 2010, Application of Support Vector Regression for Phyciological Emotion Recognition, International Computer Symposium, 2010/12/16-18, NCKU, Tainan.
48. Chuan-Yu Chang, Chun-Yen Lo, Chi-Jane Wang and Pau-Choo Chung, 2010, A Music Recommendation System with Consideration of Personal Emotion, International Computer Symposium, 2010/12/16-18, NCKU, Tainan.
49. Chuan-Yu Chang and Tai-Hua Wu, 2010, Using Gait Information for Gender Recognition, 2010 International Conference on Intelligent Systems Design and Applications, 2010/11/29-2010/12/01, IEEE, Cariro.
50. Chuan-Yu Chang, Shu-Han Chang, Shao-Jer Chen, 2010, Feature Analysis and Classification of Lymph Nodes, 2nd International Conference on Computational Collective Intelligence-Technologies and Applications, 2010/11/10-12, 高雄應用科技大學, Kaohsiung.
51. Chuan-Yu Chang, Shang-Cheng Li, Pau-Choo Chung, Jui-Yi Kuo, Yung-Chin Tu, 2010, Automatic Facial Skin Defect Detection System, Fifth International Conference on Broadband and Wireless Computing, Communication and Applications, 2010/11/04-06, Fukuoka Institute of Technology, Fukuoka.
52. Chuan-Yu Chang, Hung-Jen Wang, and Ru-Hao Jian, 2010, Color-based Semantic Image Retrieval with Fuzzy-ART, The Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2010/10/15-17, IEEE, Darmstadt.
53. Chun-Hsi Li, Chuan-Yu Chang, MuDer Jeng, and Yang-Ting Jeng, 2010, A Case Study of Applying Regional Level-Set Formulation to Post-Sawing LED Wafer Inspection, 2010 IEEE International Conference on System, man, and Cybernetics, 2010/10/10-13, IEEE, 伊斯坦堡.
54. Chuan-Yu Chang, Jia-Sin Li, and Jui-Yi Kuo, 2010, Face View Recognition and Facial Feature Extraction, The First International Conference on Pervasive Computing, Signal Processing and Applications, 2010/09/17-19, Harbin Institute of Technology, Harbin, pp.452-455.
55. Chuan-Yu Chang, Cheng-Min Fan, Yuh-Shyan Tsai, 2010, A Dynamic Blood Flow Measurement For Diagnosing Prostate Diseases, The 23th IPPR Conference on Computer Vision, Graphics, and Image Processing, 2010/08/15-17, 高雄大學, 高雄, pp.770-776.
56. Chuan-Yu Chang, Yan-Chiang Huang, 2010, Personalized Facial Expression Recognition in Indoor Environments, The 2010 IEEE World Congress on Computational Intelligence, 2010/07/18-23, IEEE, Barcelona, pp.3277-3284.
57. Chuan-Yu Chang, Jun-Ying Zheng, and Chi-Jane Wang, 2010, Based on Support Vector Regression for Emotion Recognition using Physiological Signals, The 2010 IEEE World Congress on Computational Intelligence, 2010/07/18-23, IEEE, Barcelona, pp.1068-1074.
58. 張傳育, 2010, 結合生理訊號與支援向量迴歸之情緒辨識系統, 2010數位活科技研討會, 2010/06/24-25, 成功大學, 台南市, 成功大學.
59. Chuan-Yu Chang, Chun-Yen Lo, Chi-Jane Wang and Pau-Choo Chung, 2010, A Personal-Cognitive Music Classification, 2010數位活科技研討會, 2010/06/24-25, 成功大學, 台南市, 成功大學.
60. 張傳育, 王宏仁, 簡儒浩, 2009, 使用模糊自適共振理論類神經網路於影像內容分析, 第17屆模糊理論及其應用研討會, 2009/12/18-19, 高雄大學, 高雄大學, pp.262-257.
61. 張傳育, 黃彥強, 楊淇祿, 詹寶珠, 2009, 使用局部特徵的人臉表情分析, 第17屆模糊理論及其應用研討會, 2009/12/18-19, 高雄大學, 高雄大學, pp.250-255.
62. Chuan-Yu Chang, Yan-Chiang Huang, and Chi-Lu Yang, 2009, Personalized Facial Expression Recognition in Color Image, Fourth International Conference on Innovative Computing, Information and Control, 2009/12/07-09, 高雄應用科技大學, 高雄市, pp.1164-1167.
63. Chuan-Yu Chang, Yung-Chi Chang1 Chun-Hsi Li, and MuDer Jeng, 2009, Automatic Die Inspection for Post-sawing LED Wafers, 2009 IEEE International Conference on Systems, Man, and Cybernetics, 2009/10/11-14, IEEE, San Antonio.
64. Chuan-Yu Chang, Hsin-Cheng Huang, Shao-Jet Chen, 2009, THYROID NODULE SEGMENTATION AND COMPONENT ANALYSIS IN ULTRASOUND IMAGES, 2009 APSIPA Annual Summit and Conference, 2009/10/04-07, APSIPA, Sapporo.
65. Chuan-Yu Chang, Ru-Hao Jian, and Hung-Jen Wang, 2009, Two-phase Fuzzy-ART with Independent Component Analysis for Semantic Image Classification, The Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2009/09/12-14, IEEE, Kyoto.
66. Chuan-Yu Chang, Yan-Chiang Huang, Pau-Choo Chung, 2009, PERSONALIZED FACIAL EXPRESSION RECOGNITION FOR INDOOR SPACE, The 22th IPPR Conference on Computer Vision, Graphics, and Image Processing, 2009/08/23-25, IPPR, Chi-Tou.
67. Chuan-Yu Chang, Hsin-Cheng Huang, Shao-Jer Chen, 2009, Automatic Thyroid Nodule Segmentation and Component Analysis in Ultrasound Images, The 22th IPPR Conference on Computer Vision, Graphics, and Image Processing, 2009/08/23-25, IPPR, Nan-Tou.
68. Chuan-Yu Chang, Yi-Lian Wu, and Yuh-Shyan Tsai, 2009, Integrating the Validation Incremental Neural Network and Radial-Basis Function Neural Network for Segmenting Prostate in Ultrasound Images, Ninth International Conference on Hybrid Intelligent Systems, 2009/08/12-14, IEEE, Shenyang.
69. Chuan-Yu Chang, Hsiang-Yi Liu, and Shyang-Rong Shih, 2009, Automatic Diagnosis of Thyroid Graves’ Disease in Ultrasound Images, Ninth International Conference on Hybrid Intelligent Systems, 2009/08/12-14, IEEE, Shenyang.
70. Chuan-Yu Chang, Ching-Yu Hsieh, 2009, Block LDA and Gradient Image for Face Recognition, The Twenty Second International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems IEA-AIE 2009, 2009/06/24-27, 台南大學, Tainan.
71. 張傳育, 黃彥強, 2009, 應用於彩色影像的個人化人臉表情辨識, 2010數位生活科技研討會, 2009/05/28-29, 成功大學, 台南市,成功大學.
72. Chuan-Yu Chang, Jeng-Shiun Tsai, Chi-Jane Wang, and Pau-Choo Chung,, 2009, Emotion Recognition with Consideration of Facial Expression and Physiological Signals, 2009 IEEE Symposium Series on Computational Intelligence, 2009/03/30-2009/04/02, IEEE Computational Intelligence Society, nashville, TN, pp.278-283.
73. Chuan-Yu Chang, Cheng-Ting Lai, and Shao-Jer Chen, 2008, Applying the Particle Swarm Optimization and Boltzmann Function for Feature, The Eighth International Conference on Intelligent Systems Design and Applications, 2008/11/26-28, Kaohsiung, pp.55-60.
74. Chuan-Yu Chang, Ming-Fong Tsai, Shao-Jer Chen, 2008, A Support-Vector-Machine-Based Method for Feature Selection and Classification of Thyroid Nodules in Ultrasound Images, 第十三屆人工智慧與應用研討會, 2008/11/21-22, 宜蘭，淡江大學, pp.252-259.
75. Chuan-Yu Chang, Chun-Hsi Li, Hung-Rung Hsu, 2008, Embedding the Principal Component Analysis in Radial Basis Function Based Committee Machine for Face Recognition, 第十三屆人工智慧與應用研討會, 2008/11/21-22, 宜蘭淡江大學, pp.26-31.
76. Chuan-Yu CHANG, Yue-Fong LEI, Chin-Hsiao TSENG and Shyang-Rong SHIH, 2008, Thyroid Segmentation and Volume Estimation in Ultrasound Images, 2008 IEEE International Conference on Systems, Man and Cybernetics, 2008/10/12-15, Singapore, pp.3442-3447.
77. Chuan-Yu Chang, Yong-Cheng Hong, Chin-Hsiao Tseng, Hung-Jen Hsieh, 2008, Using Learning Vector Quantization Neural Network For Thyroid Segment and Volume Estimation in CT Images, The 21th IPPR Conference on Computer Vision, Graphics and Image Processing, 2008/08/24-26, 宜蘭,佛光大學.
78. Chuan-Yu Chang, Cheng-Ting Lai and Shao-Jer Chen, 2008, Integrating the PSONN and Boltzmann Function for Feature Selection and Classification of Lymph Node in Ultrasonic Images, Computer Graphics Workshop 2008, 2008/07/24-25, 嘉義.
79. Chuan-Yu Chang and Hung-rung Hsu, 2008, Apply an Adaptive Center Selection Algorithm to Radial Basis Function, Third International Conference on Innovative Computing,Information and Control, 2008/06/18-20, Dalian.
80. Chuan-Yu Chang, Zong-Yu Tsai and Chun-Hsi Li, 2008, A Figure Extraction and Synthesis System by Learning Vector Quantization, Third International Conference on Innovative Computing,Information and Control, 2008/06/18-20, Dalian.
81. Chuan-Yu Chang, Jeng-Shiun Tsai, and Pau-Choo Chung, 2008, Facial Expression Recognition with Consideration of Physiological Signals, 二○○八數位生活科技研討會, 2008/06/05-06, 台南.
82. Chuan-Yu Chang, Ming-Feng Tsai1 and Shao-Jer Chen, 2008, Classification of the Thyroid Nodules Using Support Vector Machines, IEEE World Congress on Computational Intelligence 2008, 2008/06/01-06, Hong Kong, pp.3092-3097.
83. Wu-Chih Hu and Chuan-Yu Chang, 2007, A Novel Superquadric Fitting based on Radial Euclidean Distance for 3D Objects Fitting, 全國計算機會議, 2007/12/20-21, 台中, pp.327-334.
84. 張傳育, 李綺芳, 王宏仁, 2007, 植基於主成份分析與支援向量機的影像語意內容分析系統, 全國計算機會議, 2007/12/20-21, 台中, pp.172-177.
85. Chuan-Yu Chang, Chi-Fang Li, and Hung-Jen Wang, 2007, Using Principal Component Analysis and Radial Basis Function Neural Networks for Image Contents Classification, The Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2007/11/26-28, Kaohsiung, pp.7-10.
86. 張傳旺, 張傳育, 郭宗穎, 2007, 應用數值索引技術於音樂檢索系統之研究, 第十二屆人工智慧與應用研討會, 2007/11/16-17, 雲林, pp.357-363.
87. 張傳育, 謝青諭, 胡武誌, 2007, 模組化線性鑑別式分析應用於人臉辨識, 第十二屆人工智慧與應用研討會, 2007/11/16-17, 雲林, pp.94-99.
88. 張傳育, 張詠棨, 杜勇進, 2007, 應用半徑基底函數類神經網路於LED缺陷檢測, 第十二屆人工智慧與應用研討會, 2007/11/16-17, 雲林, pp.543-550.
89. Chuan-Yu Chang, Chin-Huang Chang, Chun-Hsi Li, MuDer Jeng, 2007, Inspection Results of the Learning Vector Quantization Neural Networks Based LED Wafer Defect Inspection System, the 12th Conference on Artifical Intelligence and Apllication, 2007/11/16-17, Yunlin, pp.72-79.
90. Chuan-Yu Chang and Chin-Huang Chang, 2007, Learning Vector Quantization Neural Networks for LED wafer Defect Inspection, Proceeding of Second International Conference on Innovative Computing, Information and Control,, 2007/09/02-04, Kumamoto.
91. Chuan-Yu Chang and Yung-Chi Chang, 2007, Radial-Basis Function Neural Networks for LED wafer Defect Inspection, Proceeding of Second International Conference on Innovative Computing, Information and Control, 2007/09/02-04, Kumamoto.
92. Chuan-Yu Chang, Chin-Huang Chang, Chun-Hsi Li, MuDer Jeng, 2007, AN AUTOMATIC LED WAFER DEFECT INSPECTION SYSTEM USING LEARNING VECTOR QUANTIZATION NEURAL NETWORKS, The 20th IPPR Conference on Computer Vision, Graphics and Image Processing, 2007/08/19-21, 苗栗.
93. Chuan-Yu Chang, MuDer Jeng, and Si-Yan Lin, 2007, Integrated Two Hopfield Neural Networks for Automatic LED Defect Inspection, Automation 2007, 2007/06/13-15, Taipei.
94. 張傳育, 李綺芳, 王宏仁, 2007, Integrating The Principal Component Analysis And Modular Radial Basis Function Neural Network For Semantic-based Image Analysis, 二○○七數位生活科技研討會, 2007/06/07-08, 台南.
95. Chuan-Yu Chang, Shih-Yu Fu, and Chi-Fang Lee, 2006, Modular RBF Neural Network for Photograph Analysis, 第十一屆人工智慧與應用研討會, 2006/12/14-15, 高雄, pp.206-212.
96. Chuan-Yu Chang, Hong-Hao Chang, 2006, Adaptive Color Space Switching for Face Tracking, 第十一屆人工智慧與應用研討會, 2006/12/14-16, 高雄, pp.145-151.
97. Hung-Jen Wang, Chuan-Yu Chang, and Sheng-Wen Pan, 2006, Robust Image Hashing Scheme Based on DWT and Fuzzy ART, International Computer Symposium, 2006/12/04-06, Taipei, pp.1157-1162.
98. Chuan-Yu Chang, Wen-Chih Shen, Hung-Jen Wang, 2006, Using Counter-Propagation Neural Network for Robust Digital Audio Watermarking in DWT Domain, IEEE SMC2006, 2006/10/08-11, Taipei, pp.1214-1219.
99. Chuan-Yu Chang, Da-Feng Zhuang, 2006, Recurrent Nasal Papilloma Detection Using a Fuzzy Algorithm Learning Vector Quantization Neural Network, IEEE SMC 2006, 2006/10/08-11, Taipei, pp.556-561.
100. Chuan-Yu Chang, Shih-Yu Fu, 2006, Image Classification using a Module RBF Neural Network, First International Conference on Innovative Computing, Information and Control, 2006., 2006/08/30-2006/09/01, 北京, pp.270-273.
101. Chuan-Yu Chang, Sheng-Wen Pan , and Hung-Jen Wang, 2006, A DWT- AND FUZZY ART-BASED IMAGE WATERMARKING SCHEME, CVGIP 2006, 2006/08/13-15, 桃園, pp.825-832.
102. Hung-Jen Wang, Chuan-Yu Chang, Sheng-Wen Pan, 2006, A DWT-based Robust Watermarking Scheme with Fuzzy ART, International Joint Conference on Neural Networks, 2006., 2006/07/16-21, Vancouver, pp.1750-1757.
103. 張傳育, 張鴻豪, 2006, Support Vector Machine for Adaptive Color Space Switching, 2006數位生活科技研討會, 2006/06/01-02, 台南市,國立成功大學.
104. Chuan-Yu Chang, Wen-Chih Shen, 2005, Using Counter-propagation NeuralNetwork for Digital Audio Watermarking, Proceeding of National Computer Symposium, 2005/12/15-16, Tainan.
105. Chuan-Yu Chang, Wen-Chih Shen, 2005, A Counter-propagation Neural Network for Lossless Digital Audio Watermarking, Proceeding of 10th Conference on Artificial Intelligence and Applications, 2005/12/02-03, Kaohsiung.
106. 張傳育, 謝青諭, 郭木良, 張仁愷, 2005, 具有全方位自動追蹤功能的即時監視系統, 民生電子暨信號處理研討會, 2005/11/17-18.
107. 張傳育、汪信宇、張淵閎, 2005, 具錄影及警報簡訊發送功能之多重入侵者偵測系統, 民生電子暨信號處理研討會, 2005/11/17-18.
108. Chuan-Yu Chang and Sheng-Jyun Su, 2005, A Neural-Network-Based Robust Watermarking Scheme, Proceeding of IEEE International Conference on Systems,Man and Cybernetics Hawaii, 2005/10/10-12, Hawaii.
109. Chuan-Yu Chang, Jia-Wei Chang, 2005, Automatic Wafer Defect Inspection with Consideration of Textural Information, Proceeding of Conference on Computer Vision,Graphics,and Image Processing, 2005/08/20-22, Taipei, pp. 139-145.
110. Chuan-Yu Chang and Da-Feng Zhuang, 2005, A Fuzzy-Based Learning Vector Quantization Neural Network for Recurrent Nasal Papilloma Detection, Proceeding of Conference on Computer Vision,Graphics,and Image Processing, 2005/08/20-22, Taipei, pp. 1-8.
111. Chuan-Yu Chang, Si-Yan Lin, and MuDer Jeng, 2005, Using a Two-layer Competitive Hopfield Neural Network for Semiconductor Wafer Defect Detection, to appear in Proceeding of IEEE Conference on Automation Science and Engineering, 2005/08/01-02, Edmonton, pp. 301-301.
112. Chuan-Yu Chang, Sheng-Jyun Su, 2005, Apply the Counterpropagation Neural Network to Digital Image Copyright Authentication, Proceeding of The 9th IEEE International Workshop on Cellular Neural Networks and their Applications, 2005/05/28-30, Hsin-Chu.
113. Chuan-Yu Chang, Si-Yan Lin, Mu Der Jeng, 2005, A Two-layer Competitive Hopfield Neural Networks for Automatic Semiconductor Wafer Defect Inspection, Proceeding of International Conference on automation technology(Automation05), 2005/05/05-06, Taichung, pp. 533-538.
114. Chuan-Yu Chang and Da-Feng Zhuang, 2005, Using Fuzzy Algorithms for Learning Vector Quantization Neural Network for Recurrent Nasal Papilloma Detection, Proceeding of International Conference on Systems & Signals, 2005/04/28-29, Kaohsiung, pp. 1498-1503.
115. Chuan-Yu Chang, Jia-Wei Chang, Mu Der Jeng, 2005, An Unsupervised Self-Organizing Neural Network for Automatic Semiconductor Wafer Defect Inspection, Proceeding of IEEE International Conference on Robotics and Automation, 2005/04/18-22, Barcelona.
116. Chuan-Yu Chang, Si-Yan Lin, Mu Der Jeng, 2005, Two-layer Competitive Hopfield Neural Network for Wafer Defect Detection, Proceeding of IEEE International Conference on Networking,Sensing and Control, 2005/03/19-22, Arizona.
117. Chuan-Yu Chang, Sheng-Jyun Su, 2005, The Application of a Full Counterpropagation Neural Network to Image Watermarking, Proceeding of IEEE International Conference on Networking,Sensing and Control, 2005/03/19-22, Arizona.
118. Chuan-Yu Chang and Sheng-Jyun Su, 2004, Using a Full Counterpropagation Neural Network for Image Watermarking, Proceeding of International Computer Symposium, 2004/12/15-17, Taipei.
119. Chuan-Wang Chang, Chuan-Yu Chang, and Hewijin Christine Jiau, 2004, Practical Music Retrieval System Based on Sliding melodic Contour, Proceeding of International Computer Symposium, 2004/12/15-17, Taipei.
120. 張傳育, 蘇聖鈞, 2004, 應用逆傳遞類神經網路於數位影像版權之驗證, 智慧型知識經濟研討會暨第二屆演化式計算應用專題研討會, 2004/12/04, 台北.
121. 張傳育, 張傳旺, 張榮豐, 2004, 應用滑動音程技術於音樂資料檢索系統, Proceeding of 7th Conference on Artificial Intelligence and Applications, 2004/11/05, Taipei.
122. Chuan-Yu Chang, Jia-Wei Chang, and Mu der Jeng, 2004, Using a Self-Organizing Neural Network for Wafer Defect Inspection, Proceeding of IEEE International Conference on System Man,and Cybernetics, 2004/10/10-13, Hague, pp. 4312-4317.
123. Chuan-Yu Chang, Jia-Wei Chang, and Mu der Jeng, 2004, A Unsupervised Neural Network Approach for Automatic Semiconductor Wafer Defect Inspection, Proceeding of 2004 Conference on Computer Vision,Graphics,and Image Processing, 2004/08/15-17, 花蓮.
124. Chuan-Yu Chang, 2004, A Contextual-based Hopfield Neural Network for Medical Image Edge Detection, Proceeding of IEEE International Conference on Multimedia and Expo, 2004/06/27-30, Taipei.
125. 張傳育,張嘉偉, 2004, 應用自組式類神經網路於晶圓缺陷之辦識, 第十三屆全國自動化科技研討會, 2004/06/17-18, 台北.
126. 張傳育, 張榮豐, 2004, 應用音程索引技術於音樂資料的搜尋, 數位生活與網際網路科技研討會, 2004/06/05, 台南.
127. Chuan-Yu Chang, 2004, Spatiotemporal-Hopfield Neural Cube for Diagnosing Recurrent Nasal Papilloma, Proceeding of IEEE International Conference on Networking,Sensing and Control, 2004/03/21-23, Taipei.
128. Chih-Chin Lai and Chuan-Yu Chang, 2004, A Hierarchical Genetic Algorithm Based Approach for Image Segmentation, Proceeding of IEEE International Conference on Networking,Sensing and Control, 2004/03/21-23, Taipei.
129. Chang, Chuan-Yu, 2003, Contextual Hopfield Neural Networks for Medical Images Edge Detection, Proceeding of 2003 Conference on Computer Vision,Graphics,and Image Processing, 2003/08/17-19, 金門, pp. 161-167.
130. 張傳育, 2002, 鼻咽部腫瘤復發的快速偵測, Proceeding of BME Conference, 2002/12/14-15, 高雄, pp. 80-81.
131. 張傳育, 2002, 應用霍菲爾類神經網路於醫學影像邊界之偵測, Proceeding of 7th Conference on Artificial Intelligence and Applications, 2002/11/15, 台中, pp. 690-695.
132. Chang, Chuan-Yu, Chung, Pau-Choo, 2002, Medical Images Reconstruction under Different Image Acquisition Angles, Proceeding of Medical Information Symposium in Taiwan 2002, 2002/10/05-06, Taipei, pp. 57-59.
133. Chang, Chuan-Yu, 2002, Using a Spatiotemporal-Hopfield Neural Network for Diagnosing Recurrent Nasal Papilloma, Proceeding of 2002 Conference on Computer Vision,Graphics,and Image Processing, 2002/08/25-27, 新竹, pp. 251-258.
134. 張傳育, 2001, 時空型霍菲爾類神經網路於鼻咽部復發腫瘤之偵測, Proceedings of the sixth Conference on Artificial Intelligence and Applications, pp. 514-519.
135. Chang, Chuan-Yu, Chung, Pau-Choo, and Lai, Ping-Hong, 2001, Experimental Study of a Spatiotemporal Neural Network for Diagnosing Recurrent Nasal Papilloma, Proceeding of 2001 Conference on Computer Vision,Graphics,and Image Processing.
136. Chang, Chuan-Yu and Jeng, Mu-Der, 2001, Simulation results of non-energy based neural networks for scheduling job shops, Proceedings of IEEE-IAS International Conference on Industrial Automation and Control, pp. 301-307.
137. Chang, Chuan-Yu, Chung, Pau-Choo, Huang, Wen-Chen, Chen, E-Liang and Lai, Pin-Hong, 2000, A Spatiotemporal Neural Network on Dynamic Gd-Enhanced MR Images for Diagnosing Recurrent Nasal Papilloma, Proc. of World Congress on Medical Physics and Biomedical Engineering, Chicago.
138. Chang, Chuan-Yu, Chung, Pau-Choo and Ping-Hong, 2000, Registration System For Multi-Modality Nasopharyngeal Carcinoma Images, Proceeding of ACCV2000, pp. 881-886.
139. 張傳育，詹寶珠, 1999, 鼻咽癌影像之對準與融合, 第六屆三軍官校基礎學術研討會, pp. 153-160.
140. Chung,Pau-Choo, Chang, Chuan-Yu, Chu, Woei-Chyn and Lin, Hsiu-Chen, 1999, Medical image reconstruction from different acquisition angles, Proceeding of IEEE Workshop on Signal Processing System (SiPS ’99), pp. 438-447.
141. Chang, Chuan-Yu, Chung, Pau-Choo, Huang,Wen-Chen, Chen, E-Liang and Lai, Pin-Hong, 1999, Using A Spatiotemporal Neural Network For Dynamic Gadolinium-Enhanced Mr Images Diagnosis, Proceeding of International Symposium on Multimedia Information (ISMIP ’99), pp. 67-73.
142. Chang, Chuan-Yu and Chung, Pau-Choo, Huang, Wen-Chen and Lai, Ping-Hong, 1999, Registration of multi-modality nasopharyngeal carcinoma images, Proceeding of 1999 Conference on Computer Vision,Graphics,and Image Processing, pp. 87-93.
143. Chang, Chuan-Yu and Chung, Pau-Choo, 1999, A contextual-constraint based Hopfield Neural cube for medical image segmentation, Proceeding of IEEE TENCON’99, pp. 1170-1173.
144. 張傳育, 詹寶珠, 1998, 結合移動平均法之類神經網路於醫學影像之邊界找尋, Proceeding of 1998 Workshop on Distributed System Technologies & Applications, pp. 254-259.
145. Chang, Chuan-Yu and Chung, Pau-Choo, 1998, Using a two-layer competitive Hopfield neural network for medical image edge detection, Proceeding of International Computer Symposium, pp. 172-177.
146. Chang, Chuan-Yu and Chung, Pau-Choo, 1998, Using a three-dimensional Hopfield Neural Network for Image Segmentation, Proceeding of 1998 Conference on Computer Vision,Graphics,and Image Processing, pp. 266-273.
147. Chang, Chuan-Yu and Chung, Pau-Choo, 1997, A neural network model for CT and MR image edge detection, Proceeding of International Symposium on Multimedia Information, pp. 135-140.
148. Chang ,Chuan-Yu and Jeng, Mu Der, 1995, Simulation studies of job shop scheduling using neural networks, Proceedings of the Eighth National Symposium on Automation Technology, pp. 1-8.
149. Chang ,Chuan-Yu and Jeng, Mu Der, 1995, Experimental study of a neural model for scheduling job shops, Proceedings of IEEE International Conference on Systems,Man,and Cybernetics, pp. 536-540.
150. Chang ,Chuan-Yu and Jeng, Mu Der, 1995, A neural network model for the job-shop scheduling problem with the consideration of lot sizes, Proceedings of IEEE International Conference on Robotics and Automation, pp. 202-207.
151. Chang ,Chuan-Yu and Jeng, Mu Der, 1994, A new neural network model for the job-shop scheduling problem, Proceedings of International Symposium on Artificial Neural Networks, Tainan, pp. 645-650.

1. Chuan-Yu Chang, 2015, Emotion Recognition: A Pattern Analysis Approach, Wiley, India, pp.89-112.

1. 張傳育, 2008, 應用模組化半徑基底函數類神經網路於影像語意內容分析, 國科會. (執行期間：2007年8月1日至2008年7月31日)
2. 張傳育, 2008, 在異質網路上打造一安全U 化之環境--子計畫二:U 化環境中具色彩空間自動切換之多攝影機協同偵測系統之研製(II), 國科會. (執行期間：2007年8月1日至2008年7月31日)
3. 張傳育, 2007, 在異質網路上打造一安全U化之環境－子計畫二:U化環境中具色彩空間自動切換之多攝影機協同偵測系統之研製(I), 國科會. (執行期間：2006年08月01日至2007年12月31日)
4. 張傳育, 2007, 植基於逆傳遞類神經網路之無損耗影音浮水印技術之研究, 國科會. (執行期間：2006年08月01日∼2007年07月31日)
5. 張傳育, 2006, 應用自組織及霍菲爾類神經網路於自動晶圓缺陷偵測系統, 國科會. (執行期間：2005年08月01日∼2006年07月31日)
6. 張傳育, 2005, 哼唱式PDA點唱模組核心技術之研究與設計, 國科會. (執行期間：2004年10月01日至2005年9月30日)
7. 張傳育, 2005, 應用適應性結構霍菲爾類神經網路於醫學影像邊界之偵測, 國科會, 應用適應性結構霍菲爾類神經網路於醫學影像邊界之偵測, NSC 93-2213-E-224-010, 技術移轉或授權. (執行期間：2004年08月01日至2005年7月31日)
8. 張傳育, 2004, 一個強健且快速的鼻咽部復發腫瘤診斷系統之研製, 國科會, 一個強健且快速的鼻咽部復發腫瘤診斷系統之研製, NSC 92-2213-E-224-041-, 技術移轉或授權. (執行期間：2003年08月01日至2004年07月31日)
9. 張傳育, 2003, 立體時空型霍菲爾類神經網路於鼻咽部復發腫瘤之偵測, 國科會, 立體時空型霍菲爾類神經網路於鼻咽部復發腫瘤之偵測, NSC 91-2213-E-224-051-. (執行期間：2002年08月01日至2003年08月31日)
10. 張傳育, 2002, 立體霍菲爾類神經網路在醫學影像分割之研究, 國科會, 立體霍菲爾類神經網路在醫學影像分割之研究, NSC 90-2213-E-366-007-, 技術移轉或授權. (執行期間：2001年08月01日至2002年07月31日)