A droplet state prediction method for inkjet printing under small sample conditions based on the two-stage TrAdaBoost.R2 algorithm
Inkjet printing is regarded as a new generation of green intelligent manufacturing technology. However, precise control of the state of droplets in inkjet printing is critical and costly. In this study, a voltage-driven signal-based ink droplet state prediction model suitable for a small sample data...
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Main Authors: | Yuanyuan Jia, Xiaoding Cheng, Wenai Song, Yaojian Zhou, Haofan Zhao |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2025-01-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/5.0246942 |
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