Zobrazeno 1 - 10
of 56
pro vyhledávání: '"JUNRUI LIU"'
Autor:
Haiyu SHEN, Jing FU, Chao HAN, Songzan LIU, Junrui LIU, Yufan FANG, Bohan AN, Mengting WANG, Binfeng WANG
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 14, Pp 147-154 (2024)
In order to exploit new botanic fungicide, the antifungal activities of the ethanol extracts of stem-leaf and rhizoid of P. commune were studied by the mycelia growth rate method and the spore germination method based on the determination of their my
Externí odkaz:
https://doaj.org/article/e08065d482764ac9aee620c926df4630
Autor:
Ling Sun, Guiqiong Liu, Huiguo Yang, Xunping Jiang, Junrui Liu, Xu Wang, Han Yang, Shiping Yang
Publikováno v:
Animals, Vol 13, Iss 9, p 1446 (2023)
With the demand for standardized large-scale livestock farming and the development of artificial intelligence technology, a lot of research in the area of animal face detection and face identification was conducted. However, there are no specialized
Externí odkaz:
https://doaj.org/article/90e1d7abdce44ce8b2010169055b4e85
Publikováno v:
IEEE Access, Vol 8, Pp 191956-191968 (2020)
Hyperspectral image (HSI) classification is one of the most challenging problems in understanding HSI. Convolutional neural network(CNN), with the strong ability to extract features using the hidden layers in the network, has been introduced to solve
Externí odkaz:
https://doaj.org/article/4c4409c65ca74c73a7a6dfecbe8d22ac
Publikováno v:
IET Computer Vision, Vol 13, Iss 2, Pp 233-239 (2019)
Hyperspectral imaging makes it possible to obtain object information with fine spectral resolution as well as spatial resolution, which is beneficial to a wide array of applications. However, there is a high correlation among the bands in a hyperspec
Externí odkaz:
https://doaj.org/article/8cd6054869774cc3b38a3ac83d43ac6a
Publikováno v:
Information Sciences. 626:626-639
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 32:1753-1770
Music content has recently been identified as useful information to promote the performance of music recommendations. Existing studies usually feed low-level audio features, such as the Mel-frequency cepstral coefficients, into deep learning models f
Autor:
Chaoqin Bai1 9903255@haust.edu.cn, Junrui Liu1 9906432@haust.edu.cn
Publikováno v:
Strategic Planning for Energy & the Environment. Mar2024, Vol. 43 Issue 2, p357-379. 23p.
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Jan2024, Vol. 18 Issue 1, p1-23, 23p
Publikováno v:
Information Sciences. 609:996-1009
Publikováno v:
Information Sciences. 609:1334-1352