Mossy fiber sprouting in pilocarpine-induced status epilepticus rat hippocampus: A correlative study of diffusion spectrum imaging and histology. - Li-Wei Kuo; Chun-Yao Lee; Jyh-Horng Chen; Van J. Wedeen; Chih-Chuan Chen; Horng-Huei Liou; Wen-Yih Isaac Tseng (NeuroImage, 2008)

Maximum power point tracking (MPPT) system of small wind power generator using RBFNN approach. - Chun-Yao Lee; Po-Hung Chen; Yi-Xing Shen (Expert Syst. Appl., 2011)

Efficient Improvement of Driving Circuits for White Light LEDs. - Chun-Yao Lee; Yun-Chih Chen (ICDMA, 2012)

Intelligence Bearing Fault Diagnosis Model Using Multiple Feature Extraction and Binary Particle Swarm Optimization With Extended Memory. - Chun-Yao Lee; Truong-An Le (IEEE Access, 2020)

Diagnosis of Defective Rotor Bars in Induction Motors. - Chun-Yao Lee; Kuan-Yu Huang; Lai-Yu Jen; Guang-Lin Zhuo (Symmetry, 2020)

Induction Motor Fault Classification Based on ROC Curve and t-SNE. - Chun-Yao Lee; Wen-Cheng Lin (IEEE Access, 2021)

Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure. - Chun-Yao Lee; Truong-An Le (IEEE Access, 2021)

An Enhanced Binary Particle Swarm Optimization for Optimal Feature Selection in Bearing Fault Diagnosis of Electrical Machines. - Chun-Yao Lee; Truong-An Le (IEEE Access, 2021)

Feature Ranking and Differential Evolution for Feature Selection in Brushless DC Motor Fault Diagnosis. - Chun-Yao Lee; Chen-Hsu Hung (Symmetry, 2021)

Induction Motor Multiclass Fault Diagnosis Based on Mean Impact Value and PSO-BPNN. - Chun-Yao Lee; Hong-Yi Ou (Symmetry, 2021)

Effective Rotor Fault Diagnosis Model Using Multilayer Signal Analysis and Hybrid Genetic Binary Chicken Swarm Optimization. - Chun-Yao Lee; Guang-Lin Zhuo (Symmetry, 2021)

Intelligent Fault Diagnosis for BLDC With Incorporating Accuracy and False Negative Rate in Feature Selection Optimization. - Chun-Yao Lee; Chen-Hsu Hung; Truong-An Le (IEEE Access, 2022)

A Feature Selection Approach Hybrid Grey Wolf and Heap-Based Optimizer Applied in Bearing Fault Diagnosis. - Chun-Yao Lee; Truong-An Le; Yu-Ting Lin (IEEE Access, 2022)

A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions. - Chun-Yao Lee; Guang-Lin Zhuo; Truong-An Le (Sensors, 2022)

Electricity Management Policy Applying Data Science and Machine Learning Techniques to Improve Electricity Costs. - Chun-Yao Lee; Kuan-Yu Huang; Chun-Chi Chen; Guang-Lin Zhuo; Maickel Tuegeh (Symmetry, 2022)

A Feature Selection Approach Based on Memory Space Computation Genetic Algorithm Applied in Bearing Fault Diagnosis Model. - Chun-Yao Lee; Truong-An Le; Chun-Lin Hung (IEEE Access, 2023)

Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network. - Chun-Yao Lee; Guang-Lin Zhuo (IEEE Access, 2023)

Optimal Transport Deep Clustering Network for Universal-Set Transfer Bearing Fault Diagnosis. - Chun-Yao Lee; Guang-Lin Zhuo (IEEE Trans. Instrum. Meas., 2025)

Barycenter-Based Optimal Transport Neighborhood Learning Network for Multisource Cross-Machine Bearing Fault Diagnosis. - Chun-Yao Lee; Guang-Lin Zhuo (IEEE Trans. Instrum. Meas., 2025)