Follow
Dazhong Wu
Dazhong Wu
University of Central Florida
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
Deep Learning for Smart Manufacturing: Methods and Applications
J Wang, Y Ma, L Zhang, R Gao, D Wu
Journal of Manufacturing Systems, 2018
15242018
Cloud-Based Design and Manufacturing: A New Paradigm in Digital Manufacturing and Design Innovation
D Wu, DW Rosen, L Wang, D Schaefer
Computer-Aided Design, 2015
7882015
Cloud Manufacturing: Strategic Vision and State-of-the-Art
D Wu, M Greer, DW Rosen, D Schaefer
Journal of Manufacturing Systems, 2013
7252013
A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests
D Wu, C Jennings, J Terpenny, R Gao, S Kumara
Transactions of the ASME, Journal of Manufacturing Science and Engineering, 2017
5962017
Prediction of Surface Roughness in Extrusion-based Additive Manufacturing with Machine Learning
Z Li, Z Zhang, J Shi, D Wu
Robotics and Computer-Integrated Manufacturing, 2019
3422019
A Fog Computing-Based Framework for Process Monitoring and Prognosis in Cyber-Manufacturing
D Wu, S Liu, L Zhang, J Terpenny, R Gao, T Kurfess, J Guzzo
Journal of Manufacturing Systems, 2017
3002017
Towards a Cloud-Based Design and Manufacturing Paradigm: Looking Backward, Looking Forward
D Wu, JL Thames, DW Rosen, D Schaefer
Proceedings of the ASME 2012 International Design Engineering Technical …, 2012
1912012
Enhancing the Product Realization Process with Cloud-Based Design and Manufacturing Systems
D Wu, L Thames, DW Rosen, D Schaefer
Journal of Computing and Information Science in Engineering, 2013
1752013
Tensile and Flexural Behaviors of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites
T Yu, Z Zhang, S Song, Y Bai, D Wu
Composite Structures, 2019
1632019
An Ensemble Learning-based Prognostic Approach with Degradation-Dependent Weights for Remaining Useful Life Prediction
Z Li, D Wu, C Hu, J Terpenny
Reliability Engineering & System Safety, 2017
1542017
Cybersecurity for Digital Manufacturing
D Wu, A Ren, W Zhang, F Fan, P Liu, X Fu, J Terpenny
Journal of Manufacturing Systems, 2018
1412018
Planetary Gearbox Fault Diagnosis Using Bidirectional-Convolutional LSTM Networks
J Shi, D Peng, Z Peng, Z Zhang, K Goebel, D Wu
Mechanical Systems and Signal Processing, 2022
1292022
Data-Driven Smart Manufacturing: Tool Wear Monitoring with Audio Signals and Machine Learning
Z Li, R Lui, D Wu
Journal of Manufacturing Processes, 2019
1242019
Cloud-Based Manufacturing: Old Wine in New Bottles?
D Wu, DW Rosen, L Wang, D Schaefer
Proceedings of the 47th CIRP Conference on Manufacturing Systems, 2014
1212014
Prediction of Melt Pool Temperature in Directed Energy Deposition Using Machine Learning
Z Zhang, Z Liu, D Wu
Additive Manufacturing, 2021
1022021
Cloud Manufacturing: Drivers, Current Status, and Future Trends
D Wu, MJ Greer, DW Rosen, D Schaefer
Proceedings of the ASME 2013 International Manufacturing Science and …, 2013
1022013
Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning
Z Li, K Goebel, D Wu
Transactions of the ASME, Journal of Engineering for Gas Turbines and Power, 2018
952018
Cloud-based Machine Learning for Predictive Analytics: Tool Wear Prediction in Milling
D Wu, C Jennings, J Terpenny, S Kumara
Big Data (Big Data), 2016 IEEE International Conference on, 2062-2069, 2016
942016
Predictive Modeling of Droplet Formation Processes in Inkjet-Based Bioprinting
D Wu, C Xu
Transactions of the ASME, Journal of Manufacturing Science and Engineering, 2018
872018
Structure-Property Relationship in High Strength and Lightweight AlSi10Mg Microlattices Fabricated by Selective Laser Melting
T Yu, H Hyer, Y Sohn, Y Bai, D Wu
Materials & Design, 2019
862019
The system can't perform the operation now. Try again later.
Articles 1–20