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Qingwei Nie
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2020 – today
- 2024
- [j13]Zhen Zhao, Zequn Zhang, Qingwei Nie, Changchun Liu, Haihua Zhu, Kai Chen, Dunbing Tang:
Probing a point cloud based expeditious approach with deep learning for constructing digital twin models in shopfloor. Adv. Eng. Informatics 62: 102748 (2024) - [j12]Wei Chen, Zequn Zhang
, Dunbing Tang
Probing an LSTM-PPO-Based reinforcement learning algorithm to solve dynamic job shop scheduling problem. Comput. Ind. Eng. 197: 110633 (2024) - [j11]Liping Wang, Qingwei Nie, Zequn Zhang, Dunbing Tang, Changchun Liu:
Probing an Easy-to-Deploy Multi-Agent Manufacturing System Based on Agent Computing Node: Architecture, Implementation, and Case Study. J. Comput. Inf. Sci. Eng. 24(4) (2024) - [j10]Changchun Liu
An augmented reality-assisted interaction approach using deep reinforcement learning and cloud-edge orchestration for user-friendly robot teaching. Robotics Comput. Integr. Manuf. 85: 102638 (2024) - 2023
- [j9]Changchun Liu
A transfer learning CNN-LSTM network-based production progress prediction approach in IIoT-enabled manufacturing. Int. J. Prod. Res. 61(12): 4045-4068 (2023) - [j8]Qingwei Nie
A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control. Robotics Comput. Integr. Manuf. 82: 102543 (2023) - [j7]Changchun Liu
A mixed perception-based human-robot collaborative maintenance approach driven by augmented reality and online deep reinforcement learning. Robotics Comput. Integr. Manuf. 83: 102568 (2023) - 2022
- [j6]Qingwei Nie
A multi-agent and internet of things framework of digital twin for optimized manufacturing control. Int. J. Comput. Integr. Manuf. 35(10-11): 1205-1226 (2022) - [j5]Changchun Liu
Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing. Robotics Comput. Integr. Manuf. 77: 102357 (2022) - [j4]Liping Wang, Dunbing Tang, Changchun Liu
An Augmented Reality-Assisted Prognostics and Health Management System Based on Deep Learning for IoT-Enabled Manufacturing. Sensors 22(17): 6472 (2022) - 2021
- [j3]Changchun Liu
A Novel Predictive Maintenance Method Based on Deep Adversarial Learning in the Intelligent Manufacturing System. IEEE Access 9: 49557-49575 (2021) - [j2]Zequn Zhang
Research on Workers Integration in Smart Factories With Multi-Agent Control System. IEEE Access 9: 132508-132521 (2021) - [j1]Yi Zhang
A flexible configuration method of distributed manufacturing resources in the context of social manufacturing. Comput. Ind. 132: 103511 (2021)
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