Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Yumiao Wang"'
Autor:
Yang Li, Yumiao Wang, Xiuxiu Pei, Shao Chen, Yang Jing, Yongshuai Wu, Zhiqian Ma, Zhiwei Li, Zifang Zheng, Yingtong Feng, Lele Xu, Xiao Liu, Xuyang Guo, Haixue Zheng, Shuqi Xiao
Publikováno v:
Veterinary Research, Vol 55, Iss 1, Pp 1-16 (2024)
Abstract Porcine reproductive and respiratory syndrome (PRRS) is one of the most significant swine viral infectious diseases worldwide. Vaccination is a key strategy for the control and prevention of PRRS. At present, the NADC30-like PRRSV strain has
Externí odkaz:
https://doaj.org/article/e388888fcbc84a36babe368a71f87eca
Publikováno v:
Leida xuebao, Vol 13, Iss 3, Pp 554-564 (2024)
Considering the problem of radar target detection in the sea clutter environment, this paper proposes a deep learning-based marine target detector. The proposed detector increases the differences between the target and clutter by fusing multiple comp
Externí odkaz:
https://doaj.org/article/057ec0260275466bbe7c309294ff5139
Autor:
Zhiguo Ma, Yumiao Wang, Yi Yang, Youjing Wang, Kai Zhao, Yixin Li, Changbo Fu, Wanbing He, Yugang Ma
Publikováno v:
Matter and Radiation at Extremes, Vol 9, Iss 5, Pp 055201-055201-9 (2024)
Nuclear isomers play essential roles in various fields, including stellar nucleosynthesis, nuclear clocks, nuclear batteries, clean nuclear energy, and γ-ray lasers. Recent technological advances in high-intensity lasers have made it possible to exc
Externí odkaz:
https://doaj.org/article/c1d156a8e4f54fa9a08110f0893b81e2
Autor:
Kaixi Wang, Zhiyuan Zheng, Xian Zhu, Wenjie Dong, Simon F.B. Tett, Buwen Dong, Wenxia Zhang, Fraser C. Lott, Lulei Bu, Yumiao Wang, Huixin Li, Nergui Nanding, Nicolas Freychet, Dongqian Wang, Shaobo Qiao
Publikováno v:
Weather and Climate Extremes, Vol 45, Iss , Pp 100706- (2024)
During summer 2020, Southern China experienced an extremely dry and hot summer, which was identified as one of the top ten domestic weather and climate extreme events in 2020 by China Meteorological Administration. Summer mean precipitation, surface
Externí odkaz:
https://doaj.org/article/4e302cca708c4d90acfdd7967fdde09a
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
One of the fundamental processes in nuclear physics is nuclear excitation by electron capture (NEEC). Having been proposed theoretically for almost 50 years, the experimental confirmation of NEEC is still missing, making it imperative to validate thi
Externí odkaz:
https://doaj.org/article/a782de2aa0c64719926200d94c182147
Autor:
Daotong Zhao, Chunguo Wang, Hanyun Qu, Qinling Rao, Bingqing Shen, Yinan Jiang, Jiayu Gong, Yumiao Wang, Di Geng, Rui Hong, Tao Lu, Qing Ni, Xinqi Deng
Publikováno v:
Journal of Pharmaceutical Analysis, Vol 14, Iss 7, Pp 100897- (2024)
Externí odkaz:
https://doaj.org/article/855397b24fd946d9990172c5551da26c
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-16 (2024)
Abstract Background Mastering the spatial distribution and planting area of paddy can provide a scientific basis for monitoring rice production, and planning grain production layout. Previous remote sensing studies on paddy concentrated in the plain
Externí odkaz:
https://doaj.org/article/3b731ec02a4847d69aac01522e3d8523
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1464 (2024)
Accurate crop mapping is crucial for ensuring food security. Recently, many studies have developed diverse crop mapping models based on deep learning. However, these models generally rely on a large amount of labeled crop samples to investigate the i
Externí odkaz:
https://doaj.org/article/7b6d7fe6c1d34e71954ab1592761d3c4
Autor:
Yumiao Wang, Xing Yuan
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 22, Pp n/a-n/a (2023)
Abstract The Yangtze River Basin experienced one of the worst flash droughts on record during 2022 summer, but the relative contributions of precipitation deficit and high temperature to drought onset speed and intensity are difficult to separate due
Externí odkaz:
https://doaj.org/article/92bfea46e1e64d0b87d2c03041d0ae6e
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 2247-2265 (2022)
Accurate crop mapping is critical for agricultural applications. Although studies have combined deep learning methods and time-series satellite images to crop classification with satisfactory results, most of them focused on supervised methods, which
Externí odkaz:
https://doaj.org/article/48ce2016acc74e2ea88c47976c81693b