Projects per year
Personal profile
Research Interests
Artificial Intelligence, Smart manufacturing, Smart Machine design, Robot manipulator control, Visual Servo, Intelligent System Design, Nonlinear Control, Signal Processing, Evolution algorithm
Education/Academic qualification
PhD, Electrical and Control Engineering, National Yang Ming Chiao Tung University
Fingerprint
Dive into the research topics where Ching-Hung Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
機械手臂動態軌跡性能提升技術開發與驗證
Lee, C.-H. (PI)
1/08/24 → 31/07/25
Project: Government Ministry › Other Government Ministry Institute
-
機械手臂動態軌跡性能提升技術開發與驗證
Lee, C.-H. (PI)
1/08/23 → 31/07/24
Project: Government Ministry › Other Government Ministry Institute
-
機械手臂動態軌跡性能提升技術開發與驗證
Lee, C.-H. (PI)
1/08/22 → 31/07/23
Project: Government Ministry › Other Government Ministry Institute
-
學門主題式計畫：結合自主飛行無人載具與人工智慧於精準農業病蟲害診斷與防治系統之技術研發與平台建置(2/3)
Lee, C.-H. (PI)
1/08/22 → 31/07/23
Project: Government Ministry › Other Government Ministry Institute
-
Transfer Learning for Tool Wear Estimation and Implementation
Lee, C.-H. (PI)
1/08/22 → 31/07/23
Project: Government Ministry › Other Government Ministry Institute
-
Adaptive Position/Force Controller Design Using Fuzzy Neural Network and Stiffness Estimation for Robot Manipulator
Tseng, B. R., Jiang, J. Y. & Lee, C. H., 2024, (Accepted/In press) In: International Journal of Fuzzy Systems. 127045.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Enhancing Edge-Based Federated Learning with Privacy-Preserving Gradient Transmission for Tool Wear Detection
Hung, C. W., Tsai, C. Y. & Lee, C. H., 15 Jun 2024, In: IEEE Sensors Journal. 24, 12, p. 19780-19790 11 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Industrial federated learning algorithm (P-PFedSGD) for tool wear estimation
Huang, G. Y. & Lee, C. H., Sep 2024, In: Future Generation Computer Systems. 158, p. 150-157 8 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
One-Dimensional Binary Convolutional Neural Network Accelerator Design for Bearing Fault Diagnosis
Syu, Z. S. & Lee, C. H., 1 Feb 2024, In: IEEE Sensors Journal. 24, 3, p. 3649-3658 10 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
An Enhanced Structural Damage Identification Approach Using Statistical Analysis and Optimization
Kuo, C. C. & Lee, C. H., 15 Dec 2023, In: IEEE Sensors Journal. 23, 24, p. 31082-31097 16 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations