Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Shaoxiong Yuan"'
Publikováno v:
Sensors, Vol 24, Iss 19, p 6395 (2024)
This paper presents a thorough robust Class-AB power amplifier design and its application in pressure-mode sensor-on-chip nonlinearity correction. Considering its use in piezoresistive sensing applications, a gain-boosting-aided folded cascode struct
Externí odkaz:
https://doaj.org/article/3156a972c1b440e6a7d56fd30738ec14
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
A substantial number of shallow landslides can still occur in areas with high vegetation cover under extreme rainfall. The cause and mechanism of this type of landslide remain unknown, and thus a case study is selected for study in this paper. The ex
Externí odkaz:
https://doaj.org/article/caff40acaadd47a29cf1dc69f33c03e1
Influence mechanism of vegetation infiltration effect on shallow landslides of granite residual soil
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 50, Iss 3, Pp 115-124 (2023)
The landslides induced by typhoons and rainstorms in Southern China are often shallow, fluidized and clustered. A large number of investigations have shown that vegetation infiltration has a significant impact on the formation of granite residual soi
Externí odkaz:
https://doaj.org/article/0a6fe03f70c84936a273adba1f883880
Autor:
Roberto Silvestro, Qiao Zeng, Valentina Buttò, Jean-Daniel Sylvain, Guillaume Drolet, Maurizio Mencuccini, Nelson Thiffault, Shaoxiong Yuan, Sergio Rossi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract A reliable assessment of forest carbon sequestration depends on our understanding of wood ecophysiology. Within a forest, trees exhibit different timings and rates of growth during wood formation. However, their relationships with wood anato
Externí odkaz:
https://doaj.org/article/aa0ccfc879a344328a757497a0b5d647
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5628 (2023)
The application of hyperspectral imagery coupled with deep learning shows vast promise in plant species discrimination. Reshaping one-dimensional (1D) leaf-level reflectance data (LLRD) into two-dimensional (2D) grayscale images as convolutional neur
Externí odkaz:
https://doaj.org/article/ef9dfe1f87e043009de8b945f772d136
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 4898 (2023)
Landslides triggered by extreme precipitation events pose a significant threat to human life and property in mountainous regions. Therefore, accurate identification of landslide locations is crucial for effective prevention and mitigation strategies.
Externí odkaz:
https://doaj.org/article/be69de0d70e44866839775dd957570e7
Publikováno v:
Frontiers in Earth Science, Vol 10 (2023)
Because of the physical character of soil from granite weathering and the typhoon rains in South China, the model for early warnings of existing shallow landslides cannot be well applied in that area. This study developed a new shallow landslide mode
Externí odkaz:
https://doaj.org/article/2709a984d91a4c4a9bccc5fddb10afbc
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3972 (2022)
Leaf-level hyperspectral-based species identification has a long research history. However, unlike hyperspectral image-based species classification models, convolutional neural network (CNN) models are rarely used for the one-dimensional (1D) structu
Externí odkaz:
https://doaj.org/article/b1937e97d10e484bafbea0dca5b2dab2
Publikováno v:
Journal of Risk Analysis and Crisis Response (JRACR), Vol 7, Iss 3 (2017)
Landslide disaster that threatened over 100 people in Zhaoqing, China, were taken as samples. Sixteen environmental factors were selected, including altitude, slope degree, slope aspect, lithology, soil texture, normalized differential vegetation ind
Externí odkaz:
https://doaj.org/article/7c978eec2535470b896a4196e8f1bb66
Autor:
Shuya Xu, Xinfang Xu, Shaoxiong Yuan, Huan Liu, Mengnan Liu, Ying Zhang, Hui Zhang, Yan Gao, Ruichao Lin, Xiangri Li
Publikováno v:
Molecules, Vol 22, Iss 9, p 1425 (2017)
Processing is a traditional pharmacy technology based on traditional Chinese medicine theory. The traditional Chinese medicine (TCM) ingredients should be processed before being used as a medicine. Processed bitter almonds are widely used in the clin
Externí odkaz:
https://doaj.org/article/0eac3c439e9b4d0ba5e0a6216f8d1924