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Authors
Chan, Yu-Chin https://orcid.org/0000-0002-5510-7863
Da, Daicong
Wang, Liwei
Chen, Wei https://orcid.org/0000-0002-4653-7124
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Funding
Funding for this research was provided by:
National Science Foundation (OAC-1835782, DGE-1842165)
Shanghai Jiao Tong University
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Article History
Received: 30 November 2021
Revised: 22 February 2022
Accepted: 8 March 2022
First Online: 12 April 2022
Declaration
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: The authors declare that they have no conflict of interest.
: All proposed schemes and algorithms are disclosed within this paper and developed by the authors in MATLAB (multiclass shape blending, concurrent design, data generation, deep learning) and Python (pre-processing of basis classes). Additional codes are adapted from open-source packages and are cited. The dataset from which the diverse freeform basis classes are extracted can be found at .
