| Framework and development of fault detection classification using IoT device and cloud environment H Lee Journal of manufacturing systems 43, 257-270, 2017 | 123 | 2017 |
| Developing an integrated STEP-compliant CNC prototype SH Suh, DH Chung, BE Lee, JH Cho, SU Cheon, HD Hong, HS Lee Journal of manufacturing systems 21 (5), 350-362, 2002 | 85 | 2002 |
| Virtual reality-based ergonomic modeling and evaluation framework for nuclear power plant operation and control H Lee, WC Cha Sustainability 11 (9), 2630, 2019 | 38 | 2019 |
| Collaborative intelligent CAD framework incorporating design history tracking algorithm H Lee, J Kim, A Banerjee Computer-Aided Design 42 (12), 1125-1142, 2010 | 37 | 2010 |
| Real-time manufacturing modeling and simulation framework using augmented reality and stochastic network analysis H Lee Virtual Reality 23 (1), 85-99, 2019 | 33 | 2019 |
| Intelligent scheduling and motion control for household vacuum cleaning robot system using simulation based optimization H Lee, A Banerjee 2015 Winter Simulation Conference (WSC), 1163-1171, 2015 | 30 | 2015 |
| Hybrid Deep Learning-Based Epidemic Prediction Framework of COVID-19: South Korea Case F Rahmadani, H Lee Applied Sciences 10 (23), 8539, 2020 | 25 | 2020 |
| A self-configurable large-scale virtual manufacturing environment for collaborative designers H Lee, A Banerjee Virtual reality 15, 21-40, 2011 | 24 | 2011 |
| An imbalanced data handling framework for industrial big data using a gaussian process regression-based generative adversarial network E Oh, H Lee Symmetry 12 (4), 669, 2020 | 23 | 2020 |
| Embedded System Framework and Its Implementation for Device-to-Device Intelligent Communication of Manufacturing IoT Device considering Smart Factory H Lee Journal of Korean institute of intelligent systems 27 (5), 459-465, 2017 | 20 | 2017 |
| Evaluation of the effectiveness of common indoor plants in improving the indoor air quality of studio apartments S Sharma, A Bakht, M Jahanzaib, H Lee, D Park Atmosphere 13 (11), 1863, 2022 | 19 | 2022 |
| A modular Petri Net based architecture to model manufacturing systems exhibiting resource and timing uncertainties H Lee, A Banerjee 2009 IEEE International Conference on Automation Science and Engineering …, 2009 | 19 | 2009 |
| Learning framework of multimodal Gaussian–Bernoulli RBM handling real-value input data S Choo, H Lee Neurocomputing 275, 1813-1822, 2018 | 18 | 2018 |
| Executable design and control framework using reconfigurable manufacturing holons and its evolution algorithm H Lee, A Banerjee International Journal of Production Research 49 (5), 1405-1423, 2011 | 18 | 2011 |
| Generative Adversarial Networks based Data Generation Framework for Overcoming Imbalanced Manufacturing Process Data H Kim, H Lee Journal of Korean institute of intelligent systems 29 (1), 1-8, 2019 | 17 | 2019 |
| Real-time Hybrid Deep Learning-based Train Running Safety Prediction Framework of Railway Vehicle H Lee, SY Han, K Park, H Lee, T Kwon Machines 9 (7), 1-18, 2021 | 16 | 2021 |
| Design, simulation and analysis of logistics with uncertainties H Lee, A Banerjee International conference on value chain sustainability, 19-21, 2009 | 16 | 2009 |
| Effective route generation framework using quantum mechanism-based multi-directional and parallel ant colony optimization E Oh, H Lee Computers & Industrial Engineering 169, 108308, 2022 | 15 | 2022 |
| Control framework for collaborative robot using imitation learning-based teleoperation from human digital twin to robot digital twin H Lee, SD Kim, MAU Al Amin Mechatronics 85, 102833, 2022 | 14 | 2022 |
| Fault Detect and Classification Framework for Semiconductor Manufacturing Processes using Missing Data Estimation and Generative Adversary Network H Kim, H Lee Journal of Korean institute of intelligent systems 28 (4), 393-400, 2018 | 14 | 2018 |
Amarnath BanerjeeTexas A&M University在 tamu.edu 的电子邮件经过验证
