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C. K. M. Lee
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2020 – today
- 2024
- [j6]Y. L. Li, Yung Po Tsang, Chun-Ho Wu, C. K. M. Lee:
A multi-agent digital twin-enabled decision support system for sustainable and resilient supplier management. Comput. Ind. Eng. 187: 109838 (2024) - [j5]Yung Po Tsang, C. K. M. Lee, Kening Zhang, C. H. Wu, W. H. Ip:
On-Chain and Off-Chain Data Management for Blockchain-Internet of Things: A Multi-Agent Deep Reinforcement Learning Approach. J. Grid Comput. 22(1): 16 (2024) - 2023
- [j4]Sze Chit Leong, Yuk-Ming Tang, Chung Hin Lai, C. K. M. Lee:
Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing. Comput. Sci. Rev. 48: 100545 (2023) - [j3]Yuk-Ming Tang, Wei Ting Kuo, C. K. M. Lee:
Real-time Mixed Reality (MR) and Artificial Intelligence (AI) object recognition integration for digital twin in Industry 4.0. Internet Things 23: 100753 (2023) - [c4]Haonan Wang, C. K. M. Lee, Ping Ji, Gang Li:
Competition and Cooperation Mechanism Between Agency Selling and Wholesale: An Application of the Emerging E-commerce Model. IEEM 2023: 490-494 - [c3]K. L. Keung, K. H. Chow, C. K. M. Lee:
Collision Avoidance and Trajectory Planning for Autonomous Mobile Robot: A Spatio-Temporal Deep Learning Approach. IEEM 2023: 1042-1046 - [c2]Yung Po Tsang, Daniel Y. Mo, K. T. Chung, C. K. M. Lee:
Solving Capacitated and Time-constrained Vehicle Routing Problems by Deep Reinforcement Learning-based Method. IEEM 2023: 1578-1582 - [c1]C. K. M. Lee, M. Y. Au, K. L. Keung:
EEG-based Online Purchase Decisions and Preferences in Neuromarketing Considering Eco-design. IEEM 2023: 1748-1752 - 2022
- [j2]Chengli Liu, C. K. M. Lee, Linda L. Zhang:
Pricing strategy in a dual-channel supply chain with overconfident consumers. Comput. Ind. Eng. 172(Part): 108515 (2022) - [j1]Yung Po Tsang, C. K. M. Lee:
Artificial intelligence in industrial design: A semi-automated literature survey. Eng. Appl. Artif. Intell. 112: 104884 (2022)
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