Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Chunlong Xia"'
Publikováno v:
Public Policy and Administration, Vol 22, Iss 4, Pp 418-433 (2024)
In response to the current situation in which an imbalance in educational redistribution has led to an inefficient and slow educational environment in the long-term, difficulty in satisfying the interests of subjects, and a lack of effective targetin
Externí odkaz:
https://doaj.org/article/97560e8efe1a43109f0c2ab303ecc1bf
Autor:
Qijia Liu1 liuqijialiulu@gmail.com, Chunlong Xia1 xiachunlong339@gmail.com, Ran Yi1 1330896399@qq.com, Ran Xu2 artynas@gmail.com, Yeong-Gil Kim3 ky3933@shinhan.ac
Publikováno v:
Public Policy & Administration / Viesoji Politika ir Administravimas. 2023, Vol. 22 Issue 4, p418-433. 16p.
Autor:
Qian, Li, Lin, Cai, Rubing, Wang, Chunlong, Xia, Guoqing, Cui, Cong, Li, Xuemei, Zheng, Xiyun, Cai
Publikováno v:
SSRN Electronic Journal.
A variety of semi-volatile banned pesticides (SVBPs) are ubiquitous in soils of mid-latitude regions. SVBPs undertake complicated soil-gas exchange processes in mid-latitude regions, challenging the understanding of source or sink roles of soils for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6ebea8298c57535cd0d9b8e680f8c73
https://doi.org/10.2139/ssrn.4148250
https://doi.org/10.2139/ssrn.4148250
Autor:
Xianglin Wang, Chunlong Xiao, Shuqing Wu, Qingjie Lin, Shiying Lin, Jing Liu, Dingcheng Ye, Changkang Wang, Pingting Guo
Publikováno v:
Microorganisms, Vol 12, Iss 11, p 2247 (2024)
The present study was undertaken to evaluate the impacts of nano-composites of copper and carbon (NCCC) on the intestinal luminal micro-ecosystem and mucosal homeostasis of yellow-feather broilers. A total of two-hundred and forty 1-day-old male yell
Externí odkaz:
https://doaj.org/article/d421885888fc4ef79a47e0fcf7e77f85
Publikováno v:
2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS).
Non-rigid object tracking is an important yet challenging task in computer vision. In this paper, a multi-patch neural network (MPNet) model is presented to address the problem of non-rigid object tracking. The model learns a multiple patch based fra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5cfc50d8c6c96e3a71583f4fedba135
https://doi.org/10.1109/hpbdis.2019.8735493
https://doi.org/10.1109/hpbdis.2019.8735493
Autor:
Ping Wei, Chunlong Xia
Publikováno v:
2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP).
SIFT descriptor is one of the most widely-used local features for image matching. This paper presents an in-out region division method to improve the matching rate and the computational efficiency of SIFT descriptor. The descriptor region composed of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efaf3ff43bd20bcc99abcfe5e864b5e7
https://doi.org/10.1109/siprocess.2017.8124514
https://doi.org/10.1109/siprocess.2017.8124514
Autor:
Hongxing Peng, Huiming Xu, Zongmei Gao, Zhiyan Zhou, Xingguo Tian, Qianting Deng, Huijun He, Chunlong Xian
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionCrop pests have a great impact on the quality and yield of crops. The use of deep learning for the identification of crop pests is important for crop precise management.MethodsTo address the lack of data set and poor classification accura
Externí odkaz:
https://doaj.org/article/ad26be7a2973414ab7d6ab8a0ebd4a93