Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Yueqin Zhu"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2690-2704 (2024)
Phase unwrapping (PU) is a critical processing step for obtaining information on land surface deformation from interferometric synthetic aperture radar (InSAR) images. Traditional PU methods take the phase continuity assumption as the precondition. H
Externí odkaz:
https://doaj.org/article/2a2b1c7eed894367be007a17771ef071
Autor:
Hui Liu, Wai Ho Oscar Yeung, Li Pang, Jiang Liu, Xiao Bing Liu, Kevin Tak Pan Ng, Qingmei Zhang, Wen Qi Qiu, Yueqin Zhu, Tao Ding, Zhe Wang, Ji Ye Zhu, Chung Mau Lo, Kwan Man
Publikováno v:
JHEP Reports, Vol 5, Iss 12, Pp 100895- (2023)
Background & Aims: The steatotic grafts have been applied in liver transplantation frequently owing to the high incidence of non-alcoholic fatty liver disease. However, fatty livers are vulnerable to graft injury. Myeloid-derived suppressor cell (MDS
Externí odkaz:
https://doaj.org/article/e21c8487ebcc436c818307656adade91
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 998-1018 (2023)
Automatic landslide detection based on very high spatial resolution remote sensing images is crucial for disaster prevention and mitigation applications. With the rapid development of deep-learning techniques, state-of-the-art semantic segmentation m
Externí odkaz:
https://doaj.org/article/a72b7042b7cf434cad2dc28fd651bebd
Autor:
Dongli Dai, Yueqin Zhu, Zhenli Zhu, Rong Qian, Shangjun Zhuo, Anqi Liu, Xian Li, Wei Li, Qiao Chen
Publikováno v:
Molecules, Vol 28, Iss 9, p 3844 (2023)
An atmospheric pressure glow discharge ionisation source was constructed and utilized to study the dopamine (DA) oxidation process coupling with mass spectrometry. During the DA oxidation process catalysed by polyphenol oxidase (PPO), six cationic in
Externí odkaz:
https://doaj.org/article/94b11011adcf43a38d1a48905b220f96
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 261-278 (2021)
This study presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l’Observation de la Terre (SPOT-5) image, a high-resolution digital elevation model (DEM) derived from an un
Externí odkaz:
https://doaj.org/article/0803bad880924544bb36e1e32dac5caa
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5658 (2022)
In this paper, Feature Engineering (FE) was applied to Landslide Susceptibility Mapping (LSM), while the most suitable conditioning feature dataset and analysis method were tested and analyzed. Tianshui city was taken as the study area, three types o
Externí odkaz:
https://doaj.org/article/03e646a277ef4c3dbe4e96b7eb86b993
Publikováno v:
IEEE Access, Vol 7, Pp 87323-87333 (2019)
In recent years, remote sensing images have played an important role in environmental monitoring, weather forecasting, and agricultural planning. However, remote sensing images often contain a large number of cloud layers. These clouds can cover a la
Externí odkaz:
https://doaj.org/article/3e73ec6335344ee28e6a8d0f4f4d19e0
Autor:
Shuang Yang, Yuzhu Wang, Panzhe Wang, Jingqin Mu, Shoutao Jiao, Xupeng Zhao, Zhenhua Wang, Kaijian Wang, Yueqin Zhu
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8153 (2022)
A landslide is a kind of geological disaster with high frequency, great destructiveness, and wide distribution today. The occurrence of landslide disasters bring huge losses of life and property. In disaster relief operations, timely and reliable int
Externí odkaz:
https://doaj.org/article/ca08129c62244816a49f7b41609a7963
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5312 (2022)
Although urban expansion statistics have been widely carried out, large-scale and rapid monitoring is still worth doing in order to improve the efficiency of statistics, as well as make up for the omissions and deficiencies of construction expansion
Externí odkaz:
https://doaj.org/article/3efef78e1fcc4c4ab98d7b4dd3b09a35
Publikováno v:
IEEE Access, Vol 6, Pp 5705-5715 (2018)
Attention-based deep learning model as a human-centered smart technology has become the state-of-the-art method in addressing relation extraction, while implementing natural language processing. How to effectively improve the computational performanc
Externí odkaz:
https://doaj.org/article/72af5c22c0e6470fa2ea010006acfbe3