Dazhong Wu
Orcid: 0000-0002-0215-4906
According to our database1,
Dazhong Wu
authored at least 33 papers
between 2008 and 2024.
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Bibliography
2024
State of health and remaining useful life prediction of lithium-ion batteries with conditional graph convolutional network.
Expert Syst. Appl., March, 2024
Remaining useful life prediction using graph convolutional attention networks with temporal convolution-aware nested residual connections.
Reliab. Eng. Syst. Saf., February, 2024
Material removal rate prediction in chemical mechanical planarization with conditional probabilistic autoencoder and stacking ensemble learning.
J. Intell. Manuf., January, 2024
Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries.
J. Comput. Inf. Sci. Eng., 2024
Remaining Flying Time Prediction of Unmanned Aerial Vehicles Under Different Load Conditions.
J. Aerosp. Inf. Syst., 2024
Adv. Eng. Informatics, 2024
An nnU-Net Model to Enhance Segmentation of Cardiac Cine DENSE-MRI Using Phase Information.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics.
Proceedings of the 10th International Conference on Control, 2024
2023
Remaining useful life prediction of bearings with attention-awared graph convolutional network.
Adv. Eng. Informatics, October, 2023
Industrial knowledge graph-enabled cognitive intelligence-driven mass personalization.
Adv. Eng. Informatics, August, 2023
J. Open Source Softw., March, 2023
Prediction of state of health and remaining useful life of lithium-ion battery using graph convolutional network with dual attention mechanisms.
Reliab. Eng. Syst. Saf., 2023
2022
Prediction of cell viability in dynamic optical projection stereolithography-based bioprinting using machine learning.
J. Intell. Manuf., 2022
Auton. Intell. Syst., 2022
2021
IEEE Trans Autom. Sci. Eng., 2021
Learning the health index of complex systems using dynamic conditional variational autoencoders.
Reliab. Eng. Syst. Saf., 2021
Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features.
J. Comput. Inf. Sci. Eng., 2021
Int. J. Inf. Syst. Supply Chain Manag., 2021
2020
IEEE Trans. Instrum. Meas., 2020
Predicting Flexural Strength of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites Using Machine Learning.
J. Comput. Inf. Sci. Eng., 2020
Data-Driven Predictive Modeling of Tensile Behavior of Parts Fabricated by Cooperative 3D Printing.
J. Comput. Inf. Sci. Eng., 2020
2019
An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2019
Predictive modelling of surface roughness in fused deposition modelling using data fusion.
Int. J. Prod. Res., 2019
2018
Factors That Influence Employees' Security Policy Compliance: An Awareness-Motivation-Capability Perspective.
J. Comput. Inf. Syst., 2018
Int. J. Comput. Integr. Manuf., 2018
Sanction severity and employees' information security policy compliance: Investigating mediating, moderating, and control variables.
Inf. Manag., 2018
2016
Understanding Communication and Collaboration in Social Product Development Through Social Network Analysis.
J. Comput. Inf. Sci. Eng., 2016
Cloud-based machine learning for predictive analytics: Tool wear prediction in milling.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation.
Comput. Aided Des., 2015
2013
SysML-based design chain information modeling for variety management in production reconfiguration.
J. Intell. Manuf., 2013
Enhancing the Product Realization Process With Cloud-Based Design and Manufacturing Systems.
J. Comput. Inf. Sci. Eng., 2013
2009
Inf. Syst. Res., 2009
2008
J. Manag. Inf. Syst., 2008