Yan-Ning Sun
Orcid: 0000-0003-2835-7346
According to our database1,
Yan-Ning Sun
authored at least 15 papers
between 2021 and 2024.
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Bibliography
2024
IEEE Trans Autom. Sci. Eng., October, 2024
An integrated CRN-SVR approach for the quality consistency improvement in a diesel engine assembly process.
Int. J. Comput. Integr. Manuf., September, 2024
Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process.
J. Intell. Manuf., March, 2024
Reconstructing causal networks from data for the analysis, prediction, and optimization of complex industrial processes.
Eng. Appl. Artif. Intell., 2024
An adaptive Copula function-based framework for fault detection in semiconductor wafer fabrication.
Comput. Ind. Eng., 2024
Network-based two-stage robust scheduling strategy for the aircraft assembly system with uncertain duration.
Comput. Ind. Eng., 2024
A Copula network deconvolution-based direct correlation disentangling framework for explainable fault detection in semiconductor wafer fabrication.
Adv. Eng. Informatics, 2024
A dynamic feature selection-based data-driven quality prediction method for soft sensing in the diesel engine assembly system.
Adv. Eng. Informatics, 2024
Industrial Time Series Data-Driven Causal Delay Relationship Analysis for Complex Industrial Processes.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
Influential process nodes identification strategy for aircraft assembly system based on complex network and improved PageRank.
Adv. Eng. Informatics, October, 2023
An Influential Node Identification Framework in the Aircraft Assembly Network Based on the Community Structure.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023
A Data-Driven Status Division Scheme for Automated Container Terminal Production Process based on Graph Information.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
A multiphase information fusion strategy for data-driven quality prediction of industrial batch processes.
Inf. Sci., 2022
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
Modelling and Prediction of Injection Molding Process Using Copula Entropy and Multi-Output SVR.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021