Support Vector Classification for Pathological Prostate Images Based on Texture Features of Multi-Categories. - Cheng-Hsiung Lee; Po-Whei Huang; Phen-Lan Lin (SMC, 2009)

Automatic Classification for Pathological Prostate Images Based on Fractal Analysis. - Po-Whei Huang; Cheng-Hsiung Lee (IEEE Trans. Medical Imaging, 2009)

Scheduling with multi-attribute setup times. - Cheng-Hsiung Lee; Ching-Jong Liao; Chien-Wen Chao (Comput. Ind. Eng., 2012)

Automatic classification for solitary pulmonary nodule in CT image by fractal analysis based on fractional Brownian motion model. - Phen-Lan Lin; Po-Whei Huang; Cheng-Hsiung Lee; Ming-Ting Wu (Pattern Recognit., 2013)

Unrelated parallel machine scheduling with dedicated machines and common deadline. - Cheng-Hsiung Lee; Ching-Jong Liao; Chien-Wen Chao (Comput. Ind. Eng., 2014)

An efficient heuristic for a two-stage assembly scheduling problem with batch setup times to minimize makespan. - Ching-Jong Liao; Cheng-Hsiung Lee; Hong-Chieh Lee (Comput. Ind. Eng., 2015)

An optimal inventory model with partial backorders and diminishing demand rate. - Cheng-Hsiung Lee; Hung-Lin Lai; Jinshyang Roan (Int. J. Model. Identif. Control., 2017)

A discrete electromagnetism-like mechanism for parallel machine scheduling under a grade of service provision. - Chao-Tang Tseng; Cheng-Hsiung Lee; Yuan-Shyi Peter Chiu; Wei-Te Lu (Int. J. Prod. Res., 2017)

A dispatching rule and a random iterated greedy metaheuristic for identical parallel machine scheduling to minimize total tardiness. - Cheng-Hsiung Lee (Int. J. Prod. Res., 2018)

A Data Concept Map for the Data Driven Enterprise Using Smart Technologies. - Tzu-Chen Yeh; Hsiu-Chun Chen; Jung-Sing Jwo; Ching-Sheng Lin; Cheng-Hsiung Lee (ICBDT, 2020)

An Intelligent System for Grinding Wheel Condition Monitoring Based on Machining Sound and Deep Learning. - Cheng-Hsiung Lee; Jung-Sing Jwo; Han-Yi Hsieh; Ching-Sheng Lin (IEEE Access, 2020)

An Empirical Investigation of Transfer Effects for Reinforcement Learning. - Jung-Sing Jwo; Ching-Sheng Lin; Cheng-Hsiung Lee; Ya-Ching Lo (Comput. Intell. Neurosci., 2020)

Automatic segmentation for pulmonary nodules in CT images based on multifractal analysis. - Cheng-Hsiung Lee; Jung-Sing Jwo (IET Image Process., 2020)

An Intelligent System for Improving Electric Discharge Machining Efficiency Using Artificial Neural Network and Adaptive Control of Debris Removal Operations. - Cheng-Hsiung Lee; Ton-Shin Lai (IEEE Access, 2021)

An Interactive Dashboard Using a Virtual Assistant for Visualizing Smart Manufacturing. - Jung-Sing Jwo; Ching-Sheng Lin; Cheng-Hsiung Lee (Mob. Inf. Syst., 2021)

A Lightweight Application for Reading Digital Measurement and Inputting Condition Assessment in Manufacturing Industry. - Jung-Sing Jwo; Ching-Sheng Lin; Cheng-Hsiung Lee; Chenhao Wang (Mob. Inf. Syst., 2021)

Simulation and Modeling of a Data Twin Service for the Autoclave Curing Process. - Jung-Sing Jwo; Han-Yi Hsieh; Cheng-Hsiung Lee; Ching-Sheng Lin; Po-Wen Wang; Chen-Yu Hong; Jen-Kai King; Hao-Chien Hsu (IEEE Access, 2022)

Generative Adversarial Network for Joint Headline and Summary Generation. - Ching-Sheng Lin; Jung-Sing Jwo; Cheng-Hsiung Lee; Tsai-Feng Hsieh (IEEE Access, 2022)

Minimise pruning cost of a node-weighted directed acyclic graph on applications of management. - Zhi-Ming Chen; Cheng-Hsiung Lee; Yu-Feng Lin (Int. J. Model. Identif. Control., 2022)

Data Twin-Driven Cyber-Physical Factory for Smart Manufacturing. - Jung-Sing Jwo; Cheng-Hsiung Lee; Ching-Sheng Lin (Sensors, 2022)

Adapting Static and Contextual Representations for Policy Gradient-Based Summarization. - Ching-Sheng Lin; Jung-Sing Jwo; Cheng-Hsiung Lee (Sensors, 2023)

Heterogeneous Student Knowledge Distillation From BERT Using a Lightweight Ensemble Framework. - Ching-Sheng Lin; Chung-Nan Tsai; Jung-Sing Jwo; Cheng-Hsiung Lee; Xin Wang (IEEE Access, 2024)