Xuhui Xia

Orcid: 0000-0001-6291-7875

According to our database1, Xuhui Xia authored at least 14 papers between 2009 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Integrated modeling for retired mechanical product genes in remanufacturing: A knowledge graph-based approach.
Adv. Eng. Informatics, 2024

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

A Cotraining-Based Semisupervised Approach for Remaining-Useful-Life Prediction of Bearings.
Sensors, 2022

Pricing and Coordination of Remanufacturing Supply Chain with Government Participation considering Consumers' Preferences and Quality of Recycled Products.
Complex., 2022

2021
Deep learning-based image classification for online multi-coal and multi-class sorting.
Comput. Geosci., 2021

Association rules mining between service demands and remanufacturing services.
Artif. Intell. Eng. Des. Anal. Manuf., 2021

Optimal Remanufacturing Service Resource Allocation for Generalized Growth of Retired Mechanical Products: Maximizing Matching Efficiency.
IEEE Access, 2021

Deep Learning Based Mineral Image Classification Combined With Visual Attention Mechanism.
IEEE Access, 2021

2020
Life Balance-Considered Matching Optimization Method for Remanufactured Parts.
J. Comput. Inf. Sci. Eng., 2020

Partial Disassembly Line Balancing Problem Analysis Based on Sequence-Dependent Stochastic Mixed-Flow.
J. Comput. Inf. Sci. Eng., 2020

2019
Modeling and predicting remanufacturing time of equipment using deep belief networks.
Clust. Comput., 2019

Discovery Strategy and Method for Remanufacturing Service Demand Using Situational Semantic Network.
IEEE Access, 2019

2018
Buyback contract of reverse supply chains with different risk attitudes under fuzzy demands.
J. Intell. Fuzzy Syst., 2018

2009
An Enterprise Evaluation of Reverse Supply Chain Based on Ant Colony BP Neural Network.
Proceedings of the Sixth International Symposium on Neural Networks, 2009


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