學術著作

  1. 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)
  2. 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)
  3. 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)
  4. 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.
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
  15. 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)
  16. 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)
  17. 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)
  18. 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)
  19. 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)
  20. 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)
  21. 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)
  22. 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)
  23. 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)
  24. 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)
  25. 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)
  26. 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)
  27. 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)
  28. 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)
  29. 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)
  30. 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)
  31. 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)
  32. 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)
  33. 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)
  34. 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)
  35. 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)
  36. 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)
  37. 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)
  38. 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)
  39. 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)
  40. 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)
  41. 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)
  42. 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)
  43. 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)
  44. 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)
  45. 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)
  46. 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)
  47. 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)
  48. 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)
  49. 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)
  50. 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)
  51. 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)
  52. 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)
  53. 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)
  54. 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)
  55. 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)
  56. 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)
  57. 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)
  58. 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)
  59. 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)
  60. 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.
  61. 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)
  62. 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)
  63. 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)
  64. 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)
  65. 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)
  66. 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)
  67. 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)
  68. 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)
  69. 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)
  70. 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.
  71. 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)
  72. 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)
  73. 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)
  74. 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)
  75. 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)
  76. 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)
  77. 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)
  78. 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)
  79. 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)
  80. 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)
  81. 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)
  82. 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)
  83. 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)
  84. 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)
  85. 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)
  86. 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)
  87. 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)
  88. 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)
  89. 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)
  90. 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)
  91. 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)
  92. 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)
  93. 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)
  94. Chuan-Yu Chang, 2005, Spatiotemporal-Hopfield Neural Cube for Diagnosing Recurrent Nasal Papilloma, Medical & Biological Engineering & Computing, Vol. 43, pp. 16-22. (SCI, EI)
  95. 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)
  96. 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)
  97. 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)
  98. 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)
  99. 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)
  100. 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)
  101. 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)
  102. 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)
  103. 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)
  104. 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)