Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Delin Meng"'
Publikováno v:
China Journal of Accounting Research, Vol 17, Iss 3, Pp 100375- (2024)
In this study, we examine the peer effect on climate risk information disclosure by analyzing A-share listed companies in China. We find that industry peers influence target firms’ climate risk information disclosure through active (passive) imitat
Externí odkaz:
https://doaj.org/article/7b5c4d855e32431fb44f0fb9843e1deb
Publikováno v:
PLoS ONE, Vol 16, Iss 12, p e0261629 (2021)
Hand, foot and mouth disease (HFMD) is an increasingly serious public health problem, and it has caused an outbreak in China every year since 2008. Predicting the incidence of HFMD and analyzing its influential factors are of great significance to it
Externí odkaz:
https://doaj.org/article/9cd443f56067486f9182c51170efe8c2
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 909 (2021)
Seismic impedance inversion is essential to characterize hydrocarbon reservoir and detect fluids in field of geophysics. However, it is nonlinear and ill-posed due to unknown seismic wavelet, observed data band limitation and noise, but it also requi
Externí odkaz:
https://doaj.org/article/856297085f184f7e8426f77a45af28a3
Publikováno v:
Polish Journal of Environmental Studies. 31:1935-1950
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Deep-learning methods, such as convolutional neural networks (CNNs), have been successfully applied to seismic impedance inversion in recent years. Compared with traditional geophysical inversion, deep-learning inversion can give inversion results wi
Publikováno v:
Polish Journal of Environmental Studies. 30:4789-4800
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 17:2140-2144
In this letter, we use a fully convolutional residual network (FCRN) for seismic impedance inversion. After training with appropriate data, the FCRN can effectively predict impedance with high accuracy, and have good robustness against noise and phas
Autor:
Delin Meng, Qiyue Zhang
Publikováno v:
2021 4th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA).
Autor:
Guiyu Bai, Delin Meng
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 20; Issue 1; Pages: 577
China’s economic development has gradually entered a new period of slowing down and changing from quantity to quality, which has put forward higher requirements for environmental quality. How to better fulfill environmental responsibilities and rea
Publikováno v:
IGARSS
Semblance velocity analysis plays an indispensable role in seismic data processing. In order to avoid the huge time-cost when performed manually, some deep learning methods are proposed for automatic velocity picking from semblance. However, the appl