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Yinglun Zhan

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Articles

Sensors | Free Full-Text | Bagging Improves the Performance of Deep Learning-Based Semantic Segmentation with Limited Labeled Images: A Case Study of Crop Segmentation for High-Throughput Plant Phenotyping

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By Yinglun Zhan, Yuzhen Zhou, Geng Bai, Yufeng Ge
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Machine learning-driven Raman spectroscopy

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By Hefei Zhao, Zheng Xu, Yinglun Zhan, Joshua John Nduwamungu
| aocs.org
Real spectra can be rapidly and conveniently collected using vibrational microscopy techniques, such as Raman spectroscopy. However, as compared to chemometric information derived from a spectrophotometer, gas chromatography (GC), or nuclear magnetic resonance (NMR), the quantitative determination of spectra is still difficult and time-consuming.
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