Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bangjie Fu"'
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
Recent advancements in deep convolutional neural networks (DCNNs) have significantly improved landslides identification using remote sensing images. Pixel-wise semantic segmentation (PSS) and object-oriented detection (OOD) are two dominant approache
Externí odkaz:
https://doaj.org/article/7fd6723ae3f84c64b9f04932439f9e98
Autor:
Zheng Han, Haohui Ding, Hongdi Yan, Chuicheng Zeng, Changli Li, Wendu Xie, Bangjie Fu, Yange Li
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract Bearing capacity degradation of foundations under the impact of the flood is one of the major reasons responsible for the collapse and damage to the rural buildings, posing a serious threat to the local village societies. Based on a case stu
Externí odkaz:
https://doaj.org/article/30543fd9750a4950aa9d239e2c2582d7
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
The improvement of landslide susceptibility assessment is a long-standing problem in hazard mitigation work, wherein previous studies have proposed various training models. However, the ratio of positive to negative samples and the selection of non-l
Externí odkaz:
https://doaj.org/article/0e4dcb00ee60416f858ba1d076861a5e
Publikováno v:
Ecological Indicators, Vol 154, Iss , Pp 110476- (2023)
Heavy metal contamination has long been a concern of intense research within the field of environmental protection. The exacerbation of heavy metal pollution due to mineral resource over-exploitation and the implementation of agricultural modernizati
Externí odkaz:
https://doaj.org/article/a373b35a51624bc5a5e524cb376e47f9
Publikováno v:
Zhongguo dizhi zaihai yu fangzhi xuebao, Vol 33, Iss 6, Pp 103-113 (2022)
Interpretation of co-seismic collapse landslides is a key problem that needs to be solved in the post-disaster recovery work in earthquake areas. The issue regarding continuously improvement of interpretation accuracy for rapid and automatic interpre
Externí odkaz:
https://doaj.org/article/427f2413e08545cf8936882ba8361e2b
Publikováno v:
Frontiers in Earth Science, Vol 10 (2023)
Efficient and automatic landslide detection solutions are beneficial for regional hazard mitigation. At present, scholars have carried out landslide detection based on deep learning. However, continuous improvement regarding the accuracy of landslide
Externí odkaz:
https://doaj.org/article/7f5dc5d94f8a486095b7a6bea3421bee
Publikováno v:
Crystals, Vol 13, Iss 4, p 587 (2023)
In the present work, the effects of different die-casting process parameters on the mechanical properties and microstructure of A380 aluminum alloy casting with different wall thicknesses during the solidification process have been experimentally inv
Externí odkaz:
https://doaj.org/article/726eee06a7ea4d1b8c8fbfc348034643
Rapid detection of landslides using remote sensing images benefits hazard assessment and mitigation. Many deep learning-based models have been proposed for this purpose, however, for small-scale landslide detection, excessive convolution and pooling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::539ac6b327615aad727242d8853022c6
https://doi.org/10.21203/rs.3.rs-1886017/v1
https://doi.org/10.21203/rs.3.rs-1886017/v1
