Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Tian jing Zhang"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 7539-7555 (2022)
Hyperspectral (HS) pansharpening aims at fusing a low-resolution HS image with a high-resolution panchromatic (PAN) image to obtain a HS image with both higher spectral and spatial resolutions. However, existing HS pansharpening algorithms are mainly
Externí odkaz:
https://doaj.org/article/4663056a113f405ba1b1a1cb112e5068
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 466 (2022)
Pansharpening is an important yet challenging remote sensing image processing task, which aims to reconstruct a high-resolution (HR) multispectral (MS) image by fusing a HR panchromatic (PAN) image and a low-resolution (LR) MS image. Though deep lear
Externí odkaz:
https://doaj.org/article/47be8610d2844de8bc5653105dfb74f6
Autor:
Dan Yang, Xiao Li, Jia-Yu Sun, Wei Cheng, Andreas Greiser, Tian-Jing Zhang, Hong Liu, Ke Wan, Yong Luo, Qi An, Yiu-Cho Chung, Yuchi Han, Yu-Cheng Chen
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 20, Iss 1, Pp 1-10 (2018)
Abstract Background Myocardial fibrosis is a common pathophysiological process that is related to ventricular remodeling in congenital heart disease. However, the presence, characteristics, and clinical significance of myocardial fibrosis in Ebstein
Externí odkaz:
https://doaj.org/article/6e3ceb4e053a47c7905bbc684ba97333
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:1113-1121
Pansharpening is a critical yet challenging low-level vision task that aims to obtain a higher-resolution image by fusing a multispectral (MS) image and a panchromatic (PAN) image. While most pansharpening methods are based on convolutional neural ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be040222b92fa673d1026900fa7ed97
https://doi.org/10.1609/aaai.v36i1.19996
https://doi.org/10.1609/aaai.v36i1.19996
Publikováno v:
Plant Disease.
American ginseng (Panax quinquefolium L.) is one of the most valuable herb crops because of its unique pharmacological effects. In 2019, American ginseng plants withered and root rot with incidences of 20-45% were observed in about 70000m2 of ginseng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d655973ed2de0df580a6fa364d41cac0
https://doi.org/10.1094/pdis-10-21-2347-pdn
https://doi.org/10.1094/pdis-10-21-2347-pdn
Publikováno v:
European Journal of Business and Management Research. 7:85-89
Taking 50 companies listed in Shanghai and Shenzhen stock market from 2015 to 2019 as sample, the DEA-Tobit model is used to measure the managerial capability in two steps, and OLS regression is used to test whether the managerial capability affects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a29663b17f592cedd7987630e9745ecf
https://doi.org/10.24018/ejbmr.2022.7.2.1211
https://doi.org/10.24018/ejbmr.2022.7.2.1211
Autor:
Hong Liu, Dan Yang, Ke Wan, Yong Luo, Jia-Yu Sun, Tian-Jing Zhang, Wei-Hao Li, Andreas Greiser, Marie-Pierre Jolly, Qing Zhang, Yu-Cheng Chen
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-1 (2020)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/20d8468d3be84902b22dadd26b8270fc
Autor:
Chen Li, Tian-Jing Zhang, Hai-Xia Li, Ying Li, Dong Xia, Zhen-Lin Li, Chunchao Xia, Sen He, Ke Shi, Wan-Lin Peng
Publikováno v:
European Radiology. 32:1044-1053
To investigate the feasibility of automatic machine learning (autoML) based on native T1 mapping to predict late gadolinium enhancement (LGE) status in hypertrophic cardiomyopathy (HCM). Ninety-one HCM patients and 44 healthy controls who underwent c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::870b6cbae0c015b611e7ec9797d4e144
https://doi.org/10.1007/s00330-021-08228-7
https://doi.org/10.1007/s00330-021-08228-7
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a296933a5e091060ccd78b81001dcb2
https://doi.org/10.1109/igarss46834.2022.9883203
https://doi.org/10.1109/igarss46834.2022.9883203
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Standard convolution operations can effectively perform feature extraction and representation but result in high computational cost, largely due to the generation of the original convolution kernel corresponding to the channel dimension of the featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c72ab1408d935c8103e88df4169f0268
https://doi.org/10.24963/ijcai.2022/118
https://doi.org/10.24963/ijcai.2022/118