Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Tianran, Song"'
Autor:
Wenxin Zhang, Shubi Zhao, Siwen Wu, Tianran Song, Qifeng Guan, Junwei Xu, Jingxi Wang, Ping Li, Yubo Fan
Publikováno v:
Medicine in Novel Technology and Devices, Vol 23, Iss , Pp 100315- (2024)
Microbial infection, poor vascular regeneration and abnormal inflammation often impede the smooth repair of skin wounds, and these problems need to be effectively addressed. Baicalin is a natural flavonoid compound with a wide range of beneficial pha
Externí odkaz:
https://doaj.org/article/0a988c3693d6445bb0f402f7887adb87
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10938-10955 (2024)
This study presents an innovative approach for estimating the azimuth cutoff wavelength ($\lambda _{c}$) using a multipolarization combination technique to enhance the retrieval of significant wave height (SWH) and wind speed (WS) from Gaofen-3 (GF-3
Externí odkaz:
https://doaj.org/article/6c5f7d7c32624bf69491b8a794b46068
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9582-9594 (2024)
The present study utilizes the backward propagation neural network (BPNN) and the dual-branch convolutional neural network (DB-CNN) algorithms to construct models for estimating significant wave height (SWH) from polarimetric Gaofen-3 SAR wave mode d
Externí odkaz:
https://doaj.org/article/c5b260c7ccfa46b8993b8d47853a951f
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5450 (2023)
In order to investigate the impact of utilizing multiple pieces of polarization information on the performance of significant wave height (SWH) estimation from Gaofen-3 SAR data, the extreme gradient boosting (XGBoost) models were developed, validate
Externí odkaz:
https://doaj.org/article/b6016f77d52a42acadbab304354924f3
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2191 (2023)
Knowledge of the ocean backscatter at various azimuth angles is critical to the radar detection of the ocean environment. In this study, the modified two-scale model (TSM), which introduces a correction term in the conventional TSM, is improved based
Externí odkaz:
https://doaj.org/article/a52b0e8a6df14edd8319e43e8f880ff7
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1469 (2023)
The image intensity of high-resolution synthetic aperture radar (SAR) is closely related to the facet scattering distribution. In this paper, the effects of wind wave spectra, non-Gaussianity of the sea surface, and swell on the distribution of the f
Externí odkaz:
https://doaj.org/article/fde69e00214548598a3dcd984c6d2ab8
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 149 (2022)
Empirical algorithms have become the mainstream of significant wave height (SWH) retrieval from synthetic aperture radar (SAR). But the plentiful features from multi-polarizations make the selection of input for the empirical model a problem. Therefo
Externí odkaz:
https://doaj.org/article/bd9c44986bba4476ae400e65946e4896
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5480 (2022)
Significant wave height (SWH) is one of the most important descriptors for ocean wave fields. The polynomial regression (PolR) and Gaussian process regression (GPR) models are implemented to explore the effects of polarization and incidence angles on
Externí odkaz:
https://doaj.org/article/f0bd8a50d4934f10972bb5932b6894c3
Autor:
Lu Xu, Lijun Ding, Lei Wang, Yun Cao, Hui Zhu, Jingjie Lu, Xin’an Li, Tianran Song, Yali Hu, Jianwu Dai
Publikováno v:
Stem Cell Research & Therapy, Vol 8, Iss 1, Pp 1-13 (2017)
Abstract Background Severe injuries of the uterus may trigger uterine scar formation, ultimately leading to infertility or obstetrical complications. To date, few methods have adequately solved the problem of collagen deposition in uterine scars. Umb
Externí odkaz:
https://doaj.org/article/8b9e0e2c62394303acd0f49342d860a8
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de60b0755f17f80c8ac59cfcd615e4d6
https://doi.org/10.1109/igarss46834.2022.9883149
https://doi.org/10.1109/igarss46834.2022.9883149