Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Haixiang, Guo"'
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
Disaster coupling can more easily lead to severe impacts. Existing studies on disasters have mostly focused on the regional distribution characteristics of individual disasters, neglecting the regional perspective of disaster coupling. This research
Externí odkaz:
https://doaj.org/article/816bd7d33fe24122bfbc879d7ef1c79f
Publikováno v:
Earth and Space Science, Vol 11, Iss 6, Pp n/a-n/a (2024)
Abstract Automatic deformation forecast and warning of a catastrophic landslide can effectively avoid significant casualties and economic losses. However, currently it has not come to a comprehensive forecast framework covering all the deformation st
Externí odkaz:
https://doaj.org/article/69015d3933fc49f883d1949891e923ed
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 1885-1906 (2023)
Near real-time spatial prediction of earthquake-induced landslides (EQILs) can rapidly forecast the occurrence position of widespread landslides just after a violent earthquake; thus, EQIL prediction is very crucial to the 72-hour ‘golden window’
Externí odkaz:
https://doaj.org/article/852a7209c3c94fe4b1bc5f0b6640a6b7
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103677- (2024)
Automatic recognition of numerous coseismic landslides after a violent earthquake is crucial for emergency rescue and post-disaster reconstruction. Currently, deep learning techniques have achieved state-of-the-art performance in coseismic landslide
Externí odkaz:
https://doaj.org/article/7909950267b54d1c8c8b9c042a757d53
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
Deep learning (DL) techniques are now predominant in landslide detection, aiding in risk assessment and disaster management. Detecting old landslides from open satellite imagery is challenging due to their altered shapes over time and minimal variati
Externí odkaz:
https://doaj.org/article/d2b512041623473e82aafa68cd201978
Autor:
Bowei Yang, Yongming Jiang, Jun Yang, Wenbo Zhou, Tongxin Yang, Rongchang Zhang, Jinming Xu, Haixiang Guo
Publikováno v:
BMC Urology, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract Background Metabolism is a hallmark of cancer and it involves in resistance to antitumor treatment. Therefore, the purposes of this study are to classify metabolism-related molecular pattern and to explore the molecular and tumor microenviro
Externí odkaz:
https://doaj.org/article/e7790aebd5fa4cbeacd5be5d1d7d6e20
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1683 (2024)
Earthquake-triggered landslides (ETLs) feature large quantities, extensive distributions, and enormous losses to human lives and critical infrastructures. Near-real spatial prediction of ETLs can rapidly predict the locations of coseismic landslides
Externí odkaz:
https://doaj.org/article/42f9a0efc0ea4108baa221132b8a07a6
Publikováno v:
Ecological Indicators, Vol 151, Iss , Pp 110313- (2023)
Nowadays, economic development and ecological environment protection are difficult to synergize, which poses a challenge to global sustainable development. This paper uses the Tapio decoupling model to evaluate the decoupling between ecological footp
Externí odkaz:
https://doaj.org/article/98924105ba874880b09a685b9b66cf9e
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Disastrous landslides have become a focus of the world’s attention. Landslide susceptibility evaluation (LSE) can predict where landslides may occur and has caught the attention of scientists all over the world. This work establishes integrated cri
Externí odkaz:
https://doaj.org/article/3869e5837a514fab8b389aa3533dfde6
Publikováno v:
In Journal of Cleaner Production 15 March 2021 288