Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Yintao Liu"'
Autor:
Yuexin Tian, Xiangjun Liu, Yintao Liu, Haifeng Dong, Guodong Zhang, Biao Su, Xiaoli Yang, Jinjun Huang, Lixi Liang, Jian Xiong, Xiao Zhuo
Publikováno v:
ACS Omega, Vol 9, Iss 42, Pp 42698-42708 (2024)
Externí odkaz:
https://doaj.org/article/ce88eeee75d04b3aa53d21697f3f0645
Publikováno v:
IEEE Access, Vol 12, Pp 90418-90431 (2024)
Compressed sensing theory is widely used to accurately reconstruct the original signal from a small number of random observations, i.e., obtain high-dimensional information from low-dimensional information. This feature has shown effectiveness in ima
Externí odkaz:
https://doaj.org/article/031637c6e94f44ef95232beda1d07021
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 45, Iss 5, Pp 65-72 (2023)
Aiming at the specific target search and controllable angle guidance of unmanned surface ships in uncertain waters, this paper explores the target detection method based on YOLO and the guidance control method based on side angle constraint. On the b
Externí odkaz:
https://doaj.org/article/4fd6806e57a548fc9539c515ccd6c2ab
Publikováno v:
Molecules, Vol 29, Iss 14, p 3403 (2024)
In this study, a new polyionic polymer inhibitor, TIL-NH2, was developed to address the instability of shale gas horizontal wells caused by water-based drilling fluids. The structural characteristics and inhibition effects of TIL-NH2 on mud shale wer
Externí odkaz:
https://doaj.org/article/fa870c175f9949bdb5bd7698d47163a4
Autor:
Yingjie Guo, Lingxia Pan, Liding Wang, Shuai Wang, Jiangqin Fu, Wenqi Luo, Kezhen Wang, Xiaoqing Li, Chen Huang, Yintao Liu, Haoran Kang, Qiyuan Zeng, Xiuxia Fu, Zejin Huang, Wanying Li, Yingxin He, Linhai Li, Tao Peng, Haidi Yang, Meili Li, Bin Xiao, Mingsheng Cai
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 3 (2023)
ABSTRACT Epstein-Barr virus (EBV) infects host cells and establishes a latent infection that requires evasion of host innate immunity. A variety of EBV-encoded proteins that manipulate the innate immune system have been reported, but whether other EB
Externí odkaz:
https://doaj.org/article/34096ce2a87d4cddb3988a1785c9321e
Autor:
Qin Ding, Yueji Liang, Xingyong Liang, Chao Ren, Hongbo Yan, Yintao Liu, Yan Zhang, Xianjian Lu, Jianmin Lai, Xinmiao Hu
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3218 (2023)
Global Navigation Satellite System interferometric reflectometry (GNSS-IR), as a new remote sensing detection technology, can retrieve surface soil moisture (SM) by separating the modulation terms from the effective signal-to-noise ratio (SNR) data.
Externí odkaz:
https://doaj.org/article/0c909a7b3fbb4082806e12b050619dca
Autor:
Yintao Liu, Larisa P. Chernikova
Publikováno v:
Vestnik Tomskogo gosudarstvennogo universiteta. Istoriya. :114-124
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9939cbf1686f445a3c0a58bee6cfb5b9
https://doi.org/10.17223/19988613/80/13
https://doi.org/10.17223/19988613/80/13
Autor:
Hu, Qin Ding, Yueji Liang, Xingyong Liang, Chao Ren, Hongbo Yan, Yintao Liu, Yan Zhang, Xianjian Lu, Jianmin Lai, Xinmiao
Publikováno v:
Remote Sensing; Volume 15; Issue 13; Pages: 3218
Global Navigation Satellite System interferometric reflectometry (GNSS-IR), as a new remote sensing detection technology, can retrieve surface soil moisture (SM) by separating the modulation terms from the effective signal-to-noise ratio (SNR) data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::642ca5ee5f73e92ceab58349987f5dda
Autor:
Chong Luo, Rahul Kuchhal, Braden Hancock, Houman Alborzi, Alexander Ratner, Daniel Rodriguez, Christopher Ré, Haidong Shao, Stephen H. Bach, Yintao Liu, Souvik Sen, Cassandra Xia, Rob Malkin
Publikováno v:
SIGMOD Conference
Labeling training data is one of the most costly bottlenecks in developing machine learning-based applications. We present a first-of-its-kind study showing how existing knowledge resources from across an organization can be used as weak supervision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e643f7158a6a5a0f369e74978bf51f5b
http://arxiv.org/abs/1812.00417
http://arxiv.org/abs/1812.00417
Autor:
Yintao Liu, Hongwei Xu, Changzeng Tang, Conglin Zhou, Shihua Tang, Feida Li, Qing Huang, Xinying Zhong
Publikováno v:
SPIE Proceedings.
Combines the wavelet analysis and neural network, this paper will be processed the data and the traditional BP neural network and kalman filter are analyzed and compared. First of all to obtain data of dam deformation wavelet denoising, excluding the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e78cc33fff965bf7967ad70ab8b2661
https://doi.org/10.1117/12.2207604
https://doi.org/10.1117/12.2207604