Baotong Chen

Orcid: 0000-0003-2324-4916

According to our database1, Baotong Chen authored at least 15 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Exploring NetGPT-Enabled Dynamic Resource Management for Mobile D2D in Industrial IoT.
IEEE Netw., May, 2025

Knowledge sharing-enabled low-code program for collaborative robots in mix-model assembly.
J. Ind. Inf. Integr., 2025

Embodied Intelligence Empowering Customized Manufacturing: Architecture, Opportunities, and Challenges.
IEEE Access, 2025

2024
Equipment electrocardiogram (EECG): making intelligent production line more robust.
J. Intell. Manuf., August, 2024

Selective Feature Reinforcement Network for Robust Remote Fault Diagnosis of Wind Turbine Bearing Under Non-Ideal Sensor Data.
IEEE Trans. Instrum. Meas., 2024

A Deep Correlation Feature Extraction Network: Intelligent Description of Bearing Fault Knowledge for Zero-Sample Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2024

2022
Knowledge Sharing Enabled Multirobot Collaboration for Preventive Maintenance in Mixed Model Assembly.
IEEE Trans. Ind. Informatics, 2022

Dark Chain Detection Based on the IP Address.
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

2020
Time Series Data for Equipment Reliability Analysis With Deep Learning.
IEEE Access, 2020

2019
Improving Cognitive Ability of Edge Intelligent IIoT through Machine Learning.
IEEE Netw., 2019

Emerging Trends of ML-based Intelligent Services for Industrial Internet of Things (IIoT).
Proceedings of the Computing, Communications and IoT Applications, ComComAp 2019, Shenzhen, 2019

2018
Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory.
IEEE Trans. Ind. Informatics, 2018

Toward Dynamic Resources Management for IoT-Based Manufacturing.
IEEE Commun. Mag., 2018

Edge Computing in IoT-Based Manufacturing.
IEEE Commun. Mag., 2018

Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges.
IEEE Access, 2018


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