Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Haonan Guo"'
Publikováno v:
Geo-spatial Information Science, Pp 1-19 (2024)
ABSTRACTChina’s Earth Observation(EO) System has undergone significant development since the 1970s, as China has dedicated substantial efforts to advancing remote sensing technology. With fifty years of development, China has successfully narrowed
Externí odkaz:
https://doaj.org/article/002d70096ed1435e9c80a3dc55a10bf8
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
Autor:
Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dongsheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao, Liangpei Zhang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11632-11654 (2024)
Foundation models have reshaped the landscape of remote sensing (RS) by enhancing various image interpretation tasks. Pretraining is an active research topic, encompassing supervised and self-supervised learning methods to initialize model weights ef
Externí odkaz:
https://doaj.org/article/f1ebc4a04ca145599622a4482d62ea54
Autor:
Qian Shi, Jiajun Zhu, Zhengyu Liu, Haonan Guo, Song Gao, Mengxi Liu, Zihong Liu, Xiaoping Liu
Publikováno v:
Journal of Remote Sensing, Vol 4 (2024)
Building, as an integral aspect of human life, is vital in the domains of urban management and urban analysis. To facilitate large-scale urban planning applications, the acquisition of complete and reliable building data becomes imperative. There are
Externí odkaz:
https://doaj.org/article/3ca3ac59b54e44caa9d13f8ce1c3f6b3
Publikováno v:
Mathematics, Vol 12, Iss 9, p 1314 (2024)
With the rapid increase in smart grid users and the increasing cost of user data transmission, proposing an encryption method that does not increase the construction cost while increasing the user ceiling has become the focus of many scholars. At the
Externí odkaz:
https://doaj.org/article/66c480e447f64b83b38fb703a6e6b3dd
Autor:
Ning Wang, Haonan Guo, Yingyu Jing, Yifan Zhang, Bo Sun, Xingyan Pan, Huan Chen, Jing Xu, Mengjun Wang, Xi Chen, Lin Song, Wei Cui
Publikováno v:
Journal of Diabetes, Vol 15, Iss 4, Pp 338-348 (2023)
Abstract Background Large for gestational age (LGA) is one of the adverse outcomes during pregnancy that endangers the life and health of mothers and offspring. We aimed to establish prediction models for LGA at late pregnancy. Methods Data were obta
Externí odkaz:
https://doaj.org/article/9c857915a9954fab97f52af385f58d8d
Publikováno v:
BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-5 (2023)
Abstract Background Pertussis is a highly contagious respiratory disease caused by the bacterium Bordetella pertussis, characterized by paroxysms of severe coughing, and predominantly affects children. We report the first case of multiple fractures i
Externí odkaz:
https://doaj.org/article/b133840f98514f01832cfc677edfac06
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8395-8407 (2023)
The rapid advancement of automated artificial intelligence algorithms and remote sensing instruments has benefited change detection (CD) tasks. However, there is still a lot of space to study for precise detection, especially the edge integrity and i
Externí odkaz:
https://doaj.org/article/ee723e05a57f48c0ab0ac1f5248510ff
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3867-3878 (2023)
Benefiting from the developments in deep learning technology, deep-learning-based algorithms employing automatic feature extraction have achieved remarkable performance on the change detection (CD) task. However, the performance of existing deep-lear
Externí odkaz:
https://doaj.org/article/87b4d33e2fe74b139a3e2e91c60014e3
Autor:
Ting Wang, Yingyu Jing, Haonan Guo, Jing Xu, Man Wang, Lili Huang, Huan Chen, Wei Cui, Lin Song, Xiang Liu, Bo Sun, Ning Wang
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
ObjectiveTo compare the efficacy and safety of metformin, glyburide, and insulin for GDM, we conducted a subgroup analysis of outcomes for women with GDM according to the International Association of Diabetes and Pregnancy Study Groups (IADPSG) diagn
Externí odkaz:
https://doaj.org/article/86fdb514fdbe4a25b559f021caf5846c