Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zhichen Qu"'
Publikováno v:
IEEE Transactions on Image Processing. 31:392-404
RGBT tracking receives a surge of interest in the computer vision community, but this research field lacks a large-scale and high-diversity benchmark dataset, which is essential for both the training of deep RGBT trackers and the comprehensive evalua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c7fc764e2978b9bfcbc993d8c84aa43
https://doi.org/10.1109/tip.2021.3130533
https://doi.org/10.1109/tip.2021.3130533
Autor:
Jingxia Wang, Jiahui Kang, Zhipeng Sha, Zhichen Qu, Xinsheng Niu, Wen Xu, Hongyan Zhang, Keith Goulding, Xuejun Liu
Publikováno v:
Agriculture, Ecosystems & Environment. 336:108011
Fertilized cropland is a significant source of ammonia (NH3) emissions. Urea, the dominant synthetic nitrogen (N) fertilizer, makes the largest contribution to NH3 volatilization from cropland in China. To improve environmental quality and resource u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daea30cd7f57fdc1c99201dba9b9431a
https://doi.org/10.1016/j.agee.2022.108011
https://doi.org/10.1016/j.agee.2022.108011
Autor:
Kai Wang, Jingxia Wang, Zhichen Qu, Wen Xu, Hongyan Zhang, Jianlin Shen, Peng Kang, Xiaojie Zhen, Yin Wang, Xunhua Zheng, Xuejun Liu
Publikováno v:
Atmospheric Environment. 278:119070
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a822bab9848603896d942d0b7d8ed9b
https://doi.org/10.1016/j.atmosenv.2022.119070
https://doi.org/10.1016/j.atmosenv.2022.119070