Zobrazeno 1 - 10
of 340
pro vyhledávání: '"Jie DOU"'
Publikováno v:
Rock Mechanics Bulletin, Vol 3, Iss 4, Pp 100144- (2024)
Landslides are one of the geological disasters with wide distribution, high impact and serious damage around the world. Landslide risk assessment can help us know the risk of landslides occurring, which is an effective way to prevent landslide disast
Externí odkaz:
https://doaj.org/article/bd8bc226b0e94d3d8323b6d075ffc3cf
Publikováno v:
地质科技通报, Vol 43, Iss 3, Pp 251-265 (2024)
Objective Strong earthquake-induced landslides are characterized by large number, wide distribution and large scale, and seriously threaten people's lives and property. Landslide susceptibility mapping (LSM) can quickly predict the spatial distributi
Externí odkaz:
https://doaj.org/article/15e128de8091460ebb1abe8d38d18de8
Autor:
Xingxing Duan, Jialong Duan, Naimin Liu, Jiabao Li, Jie Dou, Xinyu Zhang, Qiyao Guo, Yingli Wang, Zhen Wang, Yuanyuan Zhao, Chi Jiang, Jinze Li, Qunwei Tang
Publikováno v:
SusMat, Vol 4, Iss 4, Pp n/a-n/a (2024)
Abstract Active oxygen highly affects the efficiency and stability of perovskite solar cells (PSCs) owing to the capacity to either passivate defects or decompose perovskite lattice. To better understand the in‐depth interaction, we demonstrate for
Externí odkaz:
https://doaj.org/article/eaed9943b36447f78c0a363ddcd09d91
Autor:
Jie Dou MS, Jie Gao MS, Hui-Hui Yang MS, Ruoling Guo MS, Chao Jiang MM, Jiang Zhou MD, Xiaomei Yu MS, Jingtao Guo MD, Jinlong Zhang MD, Donglei Luo MD
Publikováno v:
Clinical and Applied Thrombosis/Hemostasis, Vol 30 (2024)
This study explored 1-year follow-up of Parmaco-invasive strategy with half-dose recombinant human prourokinase (PHDP) in patients with acute ST-segment elevation myocardial infarction (STEMI). The follow-up endpoints were major adverse cardiovascula
Externí odkaz:
https://doaj.org/article/f175d3f7d9b44bf2a3f3ddf6face6d96
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15596-15611 (2024)
Machine learning is pivotal in data-driven landslide susceptibility mapping (LSM). However, the uncertainty of negative samples and the imbalance between positive and negative samples, which leads to misjudgments and overestimation, remain ongoing ch
Externí odkaz:
https://doaj.org/article/18fb07183fda4033b135e2a1d3bde49d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7475-7489 (2024)
Landslide susceptibility mapping (LSM) is a crucial step in quantitatively assessing landslide risk, essential for geologic hazards prevention. With the rapid development of deep learning models, convolutional neural networks (CNNs), and transformer
Externí odkaz:
https://doaj.org/article/20ec25cf173b43b39e8caeedfae34733
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6444-6454 (2024)
Landslide susceptibility assessment (LSA) holds crucial importance in guiding regional disaster prevention and reduction efforts. However, current deep learning (DL) models for LSA encounter challenges like insufficient landslide data samples and une
Externí odkaz:
https://doaj.org/article/13fb77984ba74455990028a46475c3bc
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3648-3663 (2024)
Landslides are catastrophic geological events that can cause significant damage to properties and result in the loss of human lives. Deep-learning technology applied to optical remote sensing images can enable effective landslide-prone area detection
Externí odkaz:
https://doaj.org/article/6e2a4cd19cce42d0b713888047fb3b90
Autor:
Ruiqi Zhang, Lele Zhang, Zhice Fang, Takashi Oguchi, Abdelaziz Merghadi, Zijin Fu, Aonan Dong, Jie Dou
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2394 (2024)
The accurate prediction of landslide susceptibility relies on effectively handling landslide absence samples in machine learning (ML) models. However, existing research tends to generate these samples in feature space, posing challenges in field vali
Externí odkaz:
https://doaj.org/article/52ea8651e0de4cf3a40909ed37edd1de
Autor:
Jie Dou MS, Jie Gao MS, Huihui Yang MS, Ruoling Guo MS, Chao Jiang MM, Jingtao Guo MD, Donglei Luo MD
Publikováno v:
Clinical and Applied Thrombosis/Hemostasis, Vol 30 (2024)
This study investigated the efficacy and safety of pharmaco-invasive strategy with half-dose recombinant human prourokinase (PHDP) during hospitalization for patients with ST-segment elevation myocardial infarction (STEMI) to provide references for t
Externí odkaz:
https://doaj.org/article/46d1da542f454cbfad4765490dcdc9e1