Yuanbin Wang
researcher ORCID ID = 0000-0002-9988-6790
Facts
9 properties- Instance of
- human
- Occupation
- researcher
- Educated at
- University of Auckland, Northwestern Polytechnical University, Taiyuan University of Science and Technology, University of Auckland[3]
- Academic degree
- Doctor of Philosophy[7]
- Academic thesis
- A Cloud-based Additive Manufacturing Platform to Support Rapid Product Development[9]
- On focus list of Wikimedia project
- NZThesisProject[10]
🏷️ Also known as
en Yuanbin Wang
🔖 Identifiers · 8
- ORCID iD
- 0000-0002-9988-6790
- VIAF cluster ID
- 6458161274860047650000
- GND ID
- 1207550264
- OpenAlex ID
- A5048946347
- Dimensions author ID
- 015250053251.97
- Scopus author ID
- 56441794900, 57192698656
- Semantic Scholar author ID
- 34147088
- Web of Science ResearcherID
- K-8359-2015
🔗 Connections
Author of 14
A CNN-Based Adaptive Surface Monitoring System for Fused Deposition Modeling,
A CNN-Based Visual Sorting System With Cloud-Edge Computing for Flexible Manufacturing Systems,
A Knowledge Management System to Support Design for Additive Manufacturing Using Bayesian Networks,
A smart surface inspection system using faster R-CNN in cloud-edge computing environment,
A weighted rough set based fuzzy axiomatic design approach for the selection of AM processes,
Deep multimodal learning for municipal solid waste sorting,
Digital Twin-driven online anomaly detection for an automation system based on edge intelligence,
Ensemble learning-enabled early prediction of dimensional accuracy for complex products during investment casting
+6 more
← Authored by 14
A CNN-Based Adaptive Surface Monitoring System for Fused Deposition Modeling,
A CNN-Based Visual Sorting System With Cloud-Edge Computing for Flexible Manufacturing Systems,
A Knowledge Management System to Support Design for Additive Manufacturing Using Bayesian Networks,
A smart surface inspection system using faster R-CNN in cloud-edge computing environment,
A weighted rough set based fuzzy axiomatic design approach for the selection of AM processes,
Deep multimodal learning for municipal solid waste sorting,
Digital Twin-driven online anomaly detection for an automation system based on edge intelligence,
Ensemble learning-enabled early prediction of dimensional accuracy for complex products during investment casting
+6 more
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