Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Huyong Yan"'
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2023)
Finger-vein biometrics has been extensively investigated for personal verification. Single sample per person (SSPP) finger-vein recognition is one of the open issues in finger-vein recognition. Despite recent advances in deep neural networks for fing
Externí odkaz:
https://doaj.org/article/4fb937e0bfdc45fea15a03532b30a27c
Autor:
Huyong Yan, Li Feng, You Yu, Weiling Liao, Lei Feng, Jingyue Zhang, Dan Liu, Ying Zou, Chongwen Liu, Linfa Qu, Xiaoman Zhang
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
Cross-site scripting (XSS) attacks are currently one of the most threatening network attack methods. Effectively detecting and intercepting XSS attacks is an important research topic in the network security field. This manuscript proposes a convoluti
Externí odkaz:
https://doaj.org/article/cb902b27ca7045deaddb317046ab99e3
Autor:
Huyong Yan, Jiao He, Xiaochuan Xu, Xinyu Yao, Guoyin Wang, Lianggui Tang, Lei Feng, Limin Zou, Xiaolong Gu, Yingfei Qu, Linfa Qu
Publikováno v:
Frontiers in Ecology and Evolution, Vol 9 (2021)
Species distribution models are widely used in conservation biology and invasive biology. MaxEnt models are the most widely used models among the existing modeling tools. In the MaxEnt modeling process, the default parameters are used most often to b
Externí odkaz:
https://doaj.org/article/fb210137a95a4a4cab983d3cda3a61cf
Publikováno v:
Global Ecology and Conservation, Vol 22, Iss , Pp - (2020)
Global climate change could pose an additional threat to the already vulnerable Gentiana macrophylla. To reduce this emerging climate-related threat, we applied ArcGIS and the maximum entropy method (MaxEnt) to analyse the consequences of climate cha
Externí odkaz:
https://doaj.org/article/ee957b35ffb9471ca51d05604eb1b596
Publikováno v:
Global Ecology and Conservation, Vol 21, Iss , Pp - (2020)
Erigeron canadensis L., an alien invasive plant originating from North America, has already invaded Chongqing, Sichuan, Taiwan, and some other areas in China. It causes damage to the local ecosystems and has demonstrated great potential for invasion.
Externí odkaz:
https://doaj.org/article/4935e4f9948d41d4992cfc738eea4ad9
Publikováno v:
Global Ecology and Conservation, Vol 21, Iss , Pp - (2020)
As an invasive alien species, Alternanthera philoxeroides has spread rapidly in China since its invasion, which has caused serious harm to the ecological environment and substantial economic losses. To better manage this invasive plant, we analysed t
Externí odkaz:
https://doaj.org/article/45ae896e7eb748ba93d5904c60448c84
Publikováno v:
Experimental and Therapeutic Medicine
Osteoarthritis (OA) is a common joint disorder characterized by progressive articular cartilage degeneration and destruction and results in gradual disability among middle-aged and elderly patients. Our previous study demonstrated that depletion of n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c43e0e2876895e08d95a2941bed79e60
https://doi.org/10.3892/etm.2021.9627
https://doi.org/10.3892/etm.2021.9627
Publikováno v:
IEEE Transactions on Industrial Informatics. 14:909-920
Self-labeled technique, a paradigm of semisupervised classification (SSC), is highly effective in alleviating the shortage of labeled data in classification tasks via an iterative self-labeling process. Although existing self-labeled SSC models show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c30b6b997a417c3039873dae4f154a3
https://doi.org/10.1109/tii.2017.2737827
https://doi.org/10.1109/tii.2017.2737827
Publikováno v:
Ecological Indicators. 81:362-372
Water eutrophication, which refers to the enrichment of nutrients to an aquatic environment, is one of the most challenging problems in water protection. Although many researchers have made attempts to solve the eutrophication problem, there is one i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd63e051f312c8e89153cf745f4c1c01
https://doi.org/10.1016/j.ecolind.2017.06.004
https://doi.org/10.1016/j.ecolind.2017.06.004
Autor:
Jianjun Xu, Botian Zhou, Yufei Zhao, Yu Huang, Guoyin Wang, Xiaoyu Shi, Huyong Yan, Mingsheng Shang, Di Wu, Kun Shan
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 164:103-112
This investigation developed a hybrid rough set (RST) and multidimensional cloud model (RSMCM) to leverage the unique strengths of RST and cloud modeling to evaluate the trophic level. In the proposed hybrid model, RST is used to decrease the data sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb550177b07ad90371466336e036134b
https://doi.org/10.1016/j.chemolab.2017.02.005
https://doi.org/10.1016/j.chemolab.2017.02.005