Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Mingxiang Yang"'
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9932 (2024)
Sewage discharge from outfalls significantly contaminates the environment. However, due to the unique characteristics of environmental policy, challenges such as data acquisition difficulties arise. This study introduces an enhanced approach by utili
Externí odkaz:
https://doaj.org/article/fd3ee44836124b4fa3c47c99be5e3daa
Autor:
Mingxiang Yang, Yunjie Yan, Zhenlin Wu, YiYing Gu, Shiyuan Zhao, Geert Morthier, Mingshan Zhao
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Efficient grating couplers (GCs) for perfectly vertical coupling are difficult to realize due to the second-order back reflection. In this study, apodized GCs (AGCs) are presented for achieving perfectly-vertical coupling to 220 nm thick sil
Externí odkaz:
https://doaj.org/article/b08eb726dcaf4a2094c740f16fea7404
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1824 (2024)
Satellite precipitation products can help improve precipitation estimates where ground-based observations are lacking; however, their relative accuracy and applicability in data-scarce areas remain unclear. Here, we evaluated the accuracy of differen
Externí odkaz:
https://doaj.org/article/a1218c31293146f692e35629895339eb
Publikováno v:
Applied Sciences, Vol 13, Iss 18, p 10409 (2023)
Hourly scale hydrological modeling holds pivotal significance for flood-related research, as watershed floods often occur within a few hours of intense rainfall. Although the SWAT model’s hourly simulation has found application in a few watersheds,
Externí odkaz:
https://doaj.org/article/840a42e5d006433a8785796f4330d438
Publikováno v:
Metals, Vol 13, Iss 8, p 1462 (2023)
The purpose of this study is to investigate the effects of semi-angle and platinum tube wall thicknesses on the first-step drawing process of platinum-clad nickel bars using finite element simulation. Three different semi-angles of die (3°, 5°, 7°
Externí odkaz:
https://doaj.org/article/0331af9d61444c7a9d096d865c29a993
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4161 (2022)
Floating debris has a negative impact on the quality of the water as well as the aesthetics of surface waters. Traditional image processing techniques struggle to adapt to the complexity of water due to factors such as complex lighting conditions, si
Externí odkaz:
https://doaj.org/article/3ec156c9478c496ebd228930b302f500
Publikováno v:
Sensors, Vol 22, Iss 10, p 3714 (2022)
Existing water gauge reading approaches based on image analysis have problems such as poor scene adaptability and weak robustness. Here, we proposed a novel water level measurement method based on deep learning (YOLOv5s, convolutional neural network)
Externí odkaz:
https://doaj.org/article/05667dcdcdff45caa8891f9e85f3459b
Autor:
Dasheng Zhang, Mingxiang Yang, Meihong Ma, Guoqiang Tang, Tsechun Wang, Xun Zhao, Suying Ma, Jin Wu, Wei Wang
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 928 (2022)
Extreme precipitation events (EPE) often cause catastrophic floods accompanied by serious economic losses and casualties. The latest version (V06) of the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (GPM IMERG) provides
Externí odkaz:
https://doaj.org/article/132b1fbf3e404c10921c3a52cbeb107c
Publikováno v:
Natural Hazards. 116:817-836
In recent years, since flood disasters have brought immeasurable losses to the city, it is urgent to prevent and solve the flood of stagnant water. Considering the shortage of real-time and accuracy of hydrological analysis, Opencv technology is used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa49e9e6db6002eca49e4583a9beb254
https://doi.org/10.20944/preprints202305.1746.v1
https://doi.org/10.20944/preprints202305.1746.v1