Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Yuefeng Yao"'
Autor:
Yuefeng Yao, Guoqing Li, Jing Li, Su Liu, Yixiao Chen, Jiapeng Deng, Yihao Wei, Liang Gao, Deli Wang, Hui Zeng
Publikováno v:
Orthopaedic Surgery, Vol 15, Iss 3, Pp 766-776 (2023)
Objective Enhanced recovery after surgery (ERAS) has been successfully adopted for the improvement of medical quality and efficacy in many diseases, but the effect thereof for ankle fracture patients can vary. The aim of the present study was to expl
Externí odkaz:
https://doaj.org/article/bf97f6288fe24474830c8ceb632c4c9a
Publikováno v:
Forests, Vol 15, Iss 1, p 81 (2023)
Accurately quantifying individual tree parameters is a critical step for assessing carbon sequestration in forest ecosystems. However, it is challenging to gather comprehensive tree point cloud data when using either unmanned aerial vehicle light det
Externí odkaz:
https://doaj.org/article/31d912fe5b954413ab356669ddab6127
Publikováno v:
Water, Vol 15, Iss 15, p 2754 (2023)
Ecosystem water-use efficiency (WUE) has been central in revealing the variability in terrestrial carbon and water cycles. Short-rotation plantations such as Eucalyptus plantations can simultaneously impact net primary production (NPP) and actual eva
Externí odkaz:
https://doaj.org/article/114ab2bdb0184947bd4dc61f6c578c0d
Autor:
Yuyang Li, Tengfang Deng, Bolin Fu, Zhinan Lao, Wenlan Yang, Hongchang He, Donglin Fan, Wen He, Yuefeng Yao
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5869 (2022)
Combining deep learning and UAV images to map wetland vegetation distribution has received increasing attention from researchers. However, it is difficult for one multi-classification convolutional neural network (CNN) model to meet the accuracy requ
Externí odkaz:
https://doaj.org/article/89c8414acb4b47d89f152e428498b315
Autor:
Yuyang Li, Bolin Fu, Xidong Sun, Donglin Fan, Yeqiao Wang, Hongchang He, Ertao Gao, Wen He, Yuefeng Yao
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5533 (2022)
Mangrove-forest classification by using deep learning algorithms has attracted increasing attention but remains challenging. The current studies on the transfer classification of mangrove communities between different regions and different sensors ar
Externí odkaz:
https://doaj.org/article/592716ca613644d499bb7b54289bf6d8
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3368 (2021)
The ratio between nitrogen and phosphorus (N/P) in plant leaves has been widely used to assess the availability of nutrients. However, it is challenging to rapidly and accurately estimate the leaf N/P ratio, especially for mixed forest. In this study
Externí odkaz:
https://doaj.org/article/39ce698719e64a8ca6d7480802d44624
Autor:
Jia Li, Yuefeng Yao, Jiaqin Wang, Jinjie Hua, Jinjin Wang, Yanqin Yang, Chunwang Dong, Qinghua Zhou, Yongwen Jiang, Yuliang Deng, Haibo Yuan
Publikováno v:
Molecules, Vol 24, Iss 23, p 4221 (2019)
The sweet-mellow taste sensation is a unique and typical feature of premium congou black tea infusions. To explore the key taste-active compounds that influence the sweet-mellow taste, a sensory and molecular characterization was performed on thirty-
Externí odkaz:
https://doaj.org/article/f9de6cdbf9394a54b8d2dbc393aa935d
Autor:
Guang Liu, Lei Li, Hui Gong, Qingwen Jin, Xinwu Li, Rui Song, Yun Chen, Yu Chen, Chengxin He, Yuqing Huang, Yuefeng Yao
Publikováno v:
Remote Sensing, Vol 9, Iss 1, p 19 (2016)
Most bamboo forests grow in humid climates in low-latitude tropical or subtropical monsoon areas, and they are generally located in hilly areas. Bamboo trunks are very straight and smooth, which means that bamboo forests have low structural diversity
Externí odkaz:
https://doaj.org/article/2690fa165d3e413b819a19add719f570
Autor:
Yuefeng Yao, Guoqing Li, Jing Li, Su Liu, Yixiao Chen, Jiapeng Deng, Yihao Wei, Liang Gao, Deli Wang, Hui Zeng
Publikováno v:
Orthopaedic Surgery. 15:766-776
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9541046e9a960106709788521e97bcf6
https://doi.org/10.1111/os.13621
https://doi.org/10.1111/os.13621
Autor:
Yuefeng Yao, Azim U. Mallik
Publikováno v:
Journal of Hydro-environment Research. 41:1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15acf3809fd9b32c6ee5a3b3941b3464
https://doi.org/10.1016/j.jher.2022.01.003
https://doi.org/10.1016/j.jher.2022.01.003