Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Heru Xue"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 9423-9442 (2023)
Somatic cell count (SCC) is a fundamental approach for determining the quality of cattle and bovine milk. So far, different classification and recognition methods have been proposed, all with certain limitations. In this study, we introduced a new de
Externí odkaz:
https://doaj.org/article/85764fc57c2445c39a95a4ace4c9d33e
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 6, Pp 5850-5866 (2022)
Traditional laboratory microscopy for identifying bovine milk somatic cells is subjective, time-consuming, and labor-intensive. The accuracy of the recognition directly through a single classifier is low. In this paper, a novel algorithm that combine
Externí odkaz:
https://doaj.org/article/5ae56260f20d4e56bd1dd74b1db3584d
Publikováno v:
Journal of Spectroscopy, Vol 2022 (2022)
Wavelength selection is one of the key steps in quantitative spectral analysis, which reduces the computation time while also improving the prediction accuracy of the model. In this paper, we propose a wavelength selection algorithm based on the ant
Externí odkaz:
https://doaj.org/article/d36ee30951dc452984d46699ced40a27
Autor:
Heru Xue, Guodong Wu
Publikováno v:
MATEC Web of Conferences; 2024, Vol. 395, p1-6, 6p
Publikováno v:
In Computers and Electronics in Agriculture December 2018 155:371-377
Publikováno v:
Spectroscopy Letters. 55:229-239
Publikováno v:
Journal of Testing & Evaluation; 2023, Vol. 51 Issue 1, p1-6, 6p
Publikováno v:
2020 International Conference on Computer Information and Big Data Applications (CIBDA).
When using a hand-held 3D laser scanner to collect data on the measured object, it often generates more extra noise flying spots. These noises will seriously affect the processing of later point cloud and the accuracy of surface reconstruction, so th
Publikováno v:
Journal of Testing and Evaluation. 51:20210453
Publikováno v:
Wireless Personal Communications. 102:3529-3543
The original hyperspectral data served as the initial features has the characteristics of high dimension and redundancy, which is not suitable for the subsequent analysis, so extracting feature information is needed. The deep learning model has a str