Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jiting Tang"'
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3311 (2024)
Transportation resilience, as a component of city sustainability, plays a crucial role in the daily management and emergency response of urban road systems. With coastal cities becoming increasingly vulnerable to typhoons, rainstorms, and other disas
Externí odkaz:
https://doaj.org/article/85c0e825d8f742a594db73954f6474ac
Publikováno v:
International Journal of Disaster Risk Science, Vol 11, Iss 4, Pp 497-507 (2020)
Abstract The first phase of the novel coronavirus disease (COVID-19) that emerged at the end of 2019 has been brought under control in the mainland of China in March, while it is still spreading globally. When the pandemic will end is a question of g
Externí odkaz:
https://doaj.org/article/d4508c16ede441c4bf4ce8fd77050ede
The urban transport network is threatened by urbanisation and climate change-enhanced urban flood, leading to substantial impacts on economic activities, social well-being and the environment. By taking the flood propagation process into consideratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d23f5592398c2c288f851c966a5dd4a4
https://doi.org/10.5194/egusphere-egu23-6611
https://doi.org/10.5194/egusphere-egu23-6611
Publikováno v:
International Journal of Disaster Risk Science. 13:261-274
The typhoon is one major threat to human societies and natural ecosystems, and its risk perception is crucial for contextualizing and managing disaster risks in different social settings. Social media data are a new data source for studying risk perc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55d7d41205c832dbf5bdb40e8ad267ed
https://doi.org/10.1007/s13753-022-00405-6
https://doi.org/10.1007/s13753-022-00405-6
Publikováno v:
Sustainability; Volume 14; Issue 21; Pages: 13969
Intensified tropical cyclones (TCs) threaten the socioeconomic development of coastal cities. The coupling of strong wind and precipitation with the TC process usually amplifies the destructive effects of storms. Currently, an integrated analytical f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d173c3b6b34281b9246cc7ccc92506ad
Publikováno v:
International Journal of Disaster Risk Science, Vol 11, Iss 4, Pp 497-507 (2020)
International Journal of Disaster Risk Science
International Journal of Disaster Risk Science
The first phase of the novel coronavirus disease (COVID-19) that emerged at the end of 2019 has been brought under control in the mainland of China in March, while it is still spreading globally. When the pandemic will end is a question of great conc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bf87d60c8eed8a0f2c88125d5163a4c
https://doi.org/10.1007/s13753-020-00294-7
https://doi.org/10.1007/s13753-020-00294-7
Publikováno v:
Multimedia Tools and Applications. 79:25403-25425
Salient object detection for RGB-D image aims to automatically detect the objects of human interest by color and depth information. In the paper generative adversarial network is adopted to improve its performance by adversarial learning. Generator n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f72d06cf462df99c6514249444fb2050
https://doi.org/10.1007/s11042-020-09188-8
https://doi.org/10.1007/s11042-020-09188-8
Publikováno v:
The Visual Computer. 36:1823-1835
Recent advances in supervised salient object detection modeling have resulted in significant performance improvements on benchmark dataset. However, most of the existing salient object detection models assume that an image contains at least one salie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09fc884b2ce7a047533230067ed3d428
https://doi.org/10.1007/s00371-019-01778-4
https://doi.org/10.1007/s00371-019-01778-4
Publikováno v:
The Visual Computer. 36:843-853
Salient object detection aims to detect distinct objects which attract human most. It has achieved substantial progress using deep convolutional neural networks in which conventional deconvolution operation is used as recovering the size of image in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff151c3299cabe4f8c5f7d8f4005d8f4
https://doi.org/10.1007/s00371-019-01659-w
https://doi.org/10.1007/s00371-019-01659-w
Publikováno v:
MMBD
Social media data (SMD) is a new data source in disaster research, which can be used in hazard identification, disaster analysis, risk assessment and emergency rescue. This data-driven disaster research needs to find an appropriate method considering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a889270bbcc4f5a1053688811e8fc532
https://doi.org/10.3233/faia200642
https://doi.org/10.3233/faia200642