Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Xinlin XIE"'
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Outburst floods can affect the survival adaptability of fish. Although the survival adaptability of many fish species under low steady-flow conditions has been studied, research on the survival adaptability of fish species under large outburst flood
Externí odkaz:
https://doaj.org/article/9e765ee74ded44639069da8ff482c091
Publikováno v:
Tongxin xuebao, Vol 44, Pp 213-225 (2023)
Aiming at the problems of discontinuous segmentation of thin strip objects that were easy to blend into the surrounding background and a large number of model parameters in the semantic segmentation algorithm of traffic scenes, a lightweight Transfor
Externí odkaz:
https://doaj.org/article/bfef6ba2bac945bd84808fd515a0ee56
Publikováno v:
Land, Vol 13, Iss 9, p 1517 (2024)
Natural dams are formed most often in narrow, steep valleys in high mountains. The outburst floods triggered by natural dam failures result in the topography and landforms successively being altered. Boulder bars are common natural structures that ar
Externí odkaz:
https://doaj.org/article/1c07c82c44cd4c70bd72b2e70c381e9d
Autor:
Xinlin Xie, Shuiqin Li, Hang Liu, Qiang Xu, Huaping Tang, Yang Mu, Mei Deng, Qiantao Jiang, Guoyue Chen, Pengfei Qi, Wei Li, Zhien Pu, Ahsan Habib, Yuming Wei, Youliang Zheng, Xiujin Lan, Jian Ma
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-13 (2022)
Abstract Background High yield and quality are essential goals of wheat (Triticum aestivum L.) breeding. Kernel length (KL), as a main component of kernel size, can indirectly change kernel weight and then affects yield. Identification and utilizatio
Externí odkaz:
https://doaj.org/article/03fc8ab774d24e3a80fdf7adecda650f
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 52, Iss 6, Pp 894-906 (2021)
According to the different ways of image-level label location inference, the weakly-supervised image semantic segmentation methods with image-level labels were divided into superpixel-based methods and classification-network-prior based methods. Then
Externí odkaz:
https://doaj.org/article/c15eabdf33dc4aa6971f1b47dffeca07
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 52, Iss 5, Pp 754-763 (2021)
A Faster R-CNN steel surface defect detection algorithm based on feature fusion and cascade detection network was proposed to solve the problem of low detection accuracy caused by reduced structure information when Deep Learning algorithm was used to
Externí odkaz:
https://doaj.org/article/5a9adf3d2c964545889f00989451ddd8
Publikováno v:
PeerJ, Vol 10, p e13692 (2022)
Background The presence of alveolar epithelial type II cells (AECIIs) is one of the most important causes of bronchopulmonary dysplasia (BPD). Exosomes from bone mesenchymal stem cells (BMSCs) can reduce hyperoxia-induced damage and provide better re
Externí odkaz:
https://doaj.org/article/37ec7b03941e4c94a783ff996e8bc131
Publikováno v:
IEEE Access, Vol 7, Pp 10999-11009 (2019)
Automatically and ideally segmenting the semantic region of each object in an image will greatly improve the precision and efficiency of subsequent image processing. We propose an automatic image segmentation algorithm based on superpixels and image-
Externí odkaz:
https://doaj.org/article/f0d46e98ef554a9487d27b9a51e91399
Autor:
Xiangru Qu, Jiajun Liu, Xinlin Xie, Qiang Xu, Huaping Tang, Yang Mu, Zhien Pu, Yang Li, Jun Ma, Yutian Gao, Qiantao Jiang, Yaxi Liu, Guoyue Chen, Jirui Wang, Pengfei Qi, Ahsan Habib, Yuming Wei, Youliang Zheng, Xiujin Lan, Jian Ma
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Kernel size (KS) and kernel weight play a key role in wheat yield. Phenotypic data from six environments and a Wheat55K single-nucleotide polymorphism array–based constructed genetic linkage map from a recombinant inbred line population derived fro
Externí odkaz:
https://doaj.org/article/5457b1bec4934c24bb22f4d56eaa89a7
Publikováno v:
Complexity, Vol 2019 (2019)
The task of semantic segmentation is to obtain strong pixel-level annotations for each pixel in the image. For fully supervised semantic segmentation, the task is achieved by a segmentation model trained using pixel-level annotations. However, the pi
Externí odkaz:
https://doaj.org/article/6d1c5f2f32cc4bad9eba3fb837bb1a3f