期刊論文

Google學術檔案

1. Lin, C. S., Tsai, C. N., Jwo, J. S., Lee, C. H., & Wang, X. (2024). Heterogeneous Student Knowledge Distillation From BERT Using a Lightweight Ensemble Framework. IEEE Access, 12, 33079-33088. (SCI)
2. Jwo, J. S., Lee, C. H., Chen, J. T., Lin, C. S., Lin, C. Y., Cheng, W. K., … & King, J. K. (2023). Application of Tabu Search for Job Shop Scheduling Based on Manufacturing Order Swapping. Engineering Proceedings, 55(1), 51. (SCI)
3. Lin, C. S., Tsai, C. N., Su, S. T., Jwo, J. S., Lee, C. H., & Wang, X. (2023). Predictive prompts with joint training of large language models for explainable recommendation. Mathematics, 11 (20), 4230. (SCI)
4. Lin, C. S., Jwo, J. S., Lee, C. H., & Hsieh, T. F. (2022). Generative Adversarial Network for Joint Headline and Summary Generation. IEEE Access, 10, 90745-90751. (SCI)
5. Jwo, J. S., Lee, C. H., & Lin, C. S*. (2022). Data Twin-Driven Cyber-Physical Factory for Smart Manufacturing. Sensors, 22(8), 2821. (SCI)
6. Jwo, J. S., Hsieh, H. Y., Lee, C. H., Lin, C. S., Wang, P. W., Hong, C. Y., … & Hsu, H. C. (2022). Simulation and Modeling of a Data Twin Service for the Autoclave Curing Process. IEEE Access, 10, 111879-111887. (SCI)
7. Lin, C. S., Jwo, J. S., & Lee, C. H. (2021). A Neural N-Gram-Based Classifier for Chinese Clinical Named Entity Recognition. Applied Sciences, 11(18), 8682. (SCI)
8. Jwo, J. S., Lin, C. S., Lee, C. H.*, Zhang, L., & Huang, S. M. (2021). Intelligent system for railway wheelset press-fit inspection using deep learning. Applied Sciences 11(17), 8243. (SCI)
9. Lee, C. H.*, & Lai, T. S. (2021). An Intelligent System for Improving Electric Discharge Machining Efficiency Using Artificial Neural Network and Adaptive Control of Debris Removal Operations. IEEE Access, 9, 75302-75312. (SCI)
10. Jwo, J. S., Lin, C. S., & Lee, C. H. (2021). Smart technology–driven aspects for human-in-the-loop smart manufacturing. The International Journal of Advanced Manufacturing Technology, 114(5), 1741-1752. (SCI)
11. Jwo, J. S., Lin, C. S., & Lee, C. H. (2021). An Interactive Dashboard Using a Virtual Assistant for Visualizing Smart Manufacturing. Mobile Information Systems, 2021. (SCI)
12. Jwo, J. S., Lin, C. S., Lee, C. H., & Wang, C. (2021). A lightweight application for reading digital measurement and inputting condition assessment in manufacturing industry. Mobile Information Systems, 2021. (SCI)
13. Jwo, J. S., Lin, C. S., Lee, C. H., & Lo, Y. C. (2020). An Empirical Investigation of Transfer Effects for Reinforcement Learning. Computational Intelligence and Neuroscience 2020. (SCI)
14. Lee, C. H.*, & Jwo, J. S. (2020). Automatic segmentation for pulmonary nodules in CT images based on multifractal analysis. IET Image Processing, 14(7), 1347-1353. (SCI)
15. Lin, C. S., Jwo, J. S., Lee, C. H., & Lo, Y. C. (2020). Empirical explorations of strategic reinforcement learning: a case study in the sorting problem. Proceedings of the Estonian Academy of Sciences 69(3). (SCI)
16. Lee, C. H.*, Jwo, J. S., Hsieh, H. Y., & Lin, C. S. (2020). An intelligent system for grinding wheel condition monitoring based on machining sound and deep learning. IEEE Access, 8, 58279-58289. (SCI)
17. Lin, P. L., Huang, P. W., Lee, C. H., & Wu, M. T. (2013). Automatic classification for solitary pulmonary nodule in CT image by fractal analysis based on fractional Brownian motion model. Pattern Recognition, 46(12), 3279-3287. (SCI)
18. Huang, P. W., & Lee, C. H. (2009). Automatic classification for pathological prostate images based on fractal analysis. IEEE Transactions on Medical Imaging, 28(7), 1037-1050. (SCI)

會議論文

1. 董映彤、李政雄、林慶昇、周忠信（2023.05）。應用深度學習技術提升線上拍賣商品推薦率之研究。論文發表於第十七屆創新、管理與知識社群國際(iCIMKC)研討會，中國文化大學：中國文化大學。
2. 周忠信、林慶昇、陳鶴元、李政雄*，開發一個適用於非資訊領域學生於入門程式設計課程的AI程式學習工具，DADH2022第13屆數位典藏與數位人文國際研討會，國立中興大學，台灣，2022。
3. 林楷、周忠信、林慶昇、李政雄，應用深度學習技術於工業瑒域中聲音事件偵測之研究，TANET-2022 臺灣網際網路研討會，國立臺北商業大學桃園校區，台灣，2022。
4. Yeh, T. C., Chen, H. C., Jwo, J. S., Lin, C. S., & Lee, C. H. (2020, September). A Data Concept Map for the Data Driven Enterprise Using Smart Technologies. In Proceedings of the 2020 3rd International Conference on Big Data Technologies (pp. 32-35).
5. Lee, C. H.*, Jwo, J. S., & Lin, C. S.(2020) DESIGNING AN INNOVATIVE TEACHING METHOD TO IMPROVE NON-CS MAJORS’ PROGRAMMING EXPERIENCES, INTED2020 Proceedings, pp. 1965-1971.
6. Lee, C. H.*, Jwo, J. S., & Lin, C. S. (2020). Development of Flowchart-based Programming Tool for Non-CS Majors. In Education and Awareness of Sustainability: Proceedings of the 3rd Eurasian Conference on Educational Innovation 2020 (ECEI 2020) (pp. 307-310).
7. Lee, C. H.*, Jwo, J. S., & Hsieh, H. Y. (2020). Evaluation of Grinding Wheel Wear Based on Machining Sound and Deep Learning. In Education and Awareness of Sustainability: Proceedings of the 3rd Eurasian Conference on Educational Innovation 2020 (ECEI 2020) (pp. 363-366).
8. 卓瑞彬、李政雄、周忠信，多點觸控鞋墊的互動設計與實作—以牙醫臨床實務為例，TANET-2018 臺灣網際網路研討會，國立中央大學，台灣，2018。