Výsledky vyhledávání - "Yuan-Heng Wang"

Akademický článek

No-Reference Low-Light Image Enhancement with Enhanced Feature Map

Autor: YUAN Heng, WANG Xiaoxue, ZHANG Shengchong

Publikováno v: Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2449-2465 (2024)

Since low-light images are of poor quality and carry noise, resulting in insufficient contrast and brightness, unclear details in the image, and the problem of high cost of obtaining paired low-light image datasets, a no-reference low-light image enh

Externí odkaz: https://doaj.org/article/09c61a34633c4bc089cb5d5c00fdf62b

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Dissertation/ Thesis

The Mountain Groundwater and Mass Transport Model

Autor: Yuan-Heng Wang, 王元亨

101
Groundwater has a wide range distribution in all kinds of terrain. A large order difference between the horizontal distance and vertical depth scale in computing three dimensional groundwater flow often causes the problems of massive computa

Externí odkaz: http://ndltd.ncl.edu.tw/handle/81894587155460215295

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Dissertation/ Thesis

Explosion pressure effect for nano-metallic dust in various turbulence degree and angularity of pipeline

Autor: Yuan-Heng Wang, 王元亨

97
In the industry field, it usually uses the automatic transportation to transport the solid dust for the purpose of automation and the production continuously, since the dust its owns characteristic, dust presents aerosol (suspension) conditio

Externí odkaz: http://ndltd.ncl.edu.tw/handle/83764349285168013776

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Dissertation/ Thesis

Pyrolytic study of 6-benzylfulvene and its benzofuran analogues

Autor: Yuan-Heng Wang, 王元亨

94
Flash vacuum pyrolysis (FVP) of 1-(2-(cyclopenta-2,4-dienylidene)ethyl)benzene gave 1H-benzo[e]indene, 3H-benzo[e]indene, and fluorene. Pyrolysis of 2-cyclopentadienylidenemethyl-3-methylbenzofuran gave 1H-benzofurano[2,3-d]indene and 3H-benz

Externí odkaz: http://ndltd.ncl.edu.tw/handle/92875972089217701402

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Exploring the Potential of Long Short‐Term Memory Networks for Improving Understanding of Continental‐ and Regional‐Scale Snowpack Dynamics

Autor: Yuan‐Heng Wang, Hoshin V. Gupta, Xubin Zeng, Guo‐Yue Niu

Publikováno v: Water Resources Research. 58

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a2fa2de85a688b214c3641a7da4702df
https://doi.org/10.1029/2021wr031033

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Evaluating the Cost of Failure Risk: A Case Study of the Kang-Wei-Kou Stream Diversion Project

Autor: Emilie Lo, Yuan-Heng Wang, Gene Jiing-Yun You, Chung-Yuan Liang, Po-Chun Chen

Publikováno v: Water
Volume 13
Issue 20
Water, Vol 13, Iss 2881, p 2881 (2021)

For water resource engineering projects, some potential risks that are unclear and difficult to investigate are the most crucial problem for engineers. This study presents a unique case of unknown risks, the Kang-Wei-Kou (KWK) Diversion project, whic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e86d4b5ebcca6bcee51ab5d8ebe26c0

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Evaluation of NOAA National Water Model Parameter Calibration in Semi-Arid Environments Prone to Channel Infiltration

Autor: L. Karsten, Laura Read, Yuan-Heng Wang, Christopher L. Castro, Aubrey Dugger, Pieter Hazenberg, Hoshin V. Gupta, David Gochis, David Yates, Timothy M. Lahmers

Publikováno v: Journal of Hydrometeorology.

The NOAA National Water Model (NWM), maintained and executed by the NOAA National Weather Service (NWS) Office of Water Prediction, provides operational hydrological guidance throughout the Contiguous United States. Based on the WRF-Hydro model archi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ce047f146cf6d64cfd987b7c4de7e346
https://doi.org/10.1175/jhm-d-20-0198.1

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A Wet‐Bulb Temperature‐Based Rain‐Snow Partitioning Scheme Improves Snowpack Prediction Over the Drier Western United States

Autor: Ali Behrangi, Xubin Zeng, Guo Yue Niu, Yuanhao Fang, Michael Barlage, Patrick D. Broxton, Yuan Heng Wang

Publikováno v: Geophysical Research Letters. 46:13825-13835

NOAA OARNational Oceanic Atmospheric Admin (NOAA) - USA [NA18OAR4590397]; NASA MAP ProgramNational Aeronautics & Space Administration (NASA) [80NSSC17K0352]; NASA Energy and Water Cycle Study awards [NNH13ZDA001N-NEWS]

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7d65367ab78f0215141cd56280105677
https://doi.org/10.1029/2019gl085722

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Exploring the Potential of Long Short-Term Memory Networks for Improving Understanding of Continental- and Regional-Scale Snowpack Dynamics

Autor: Xubin Zeng, Yuan-Heng Wang, Hoshin Vijai Gupta, Guo Yue Niu

Accurate estimation of the spatio-temporal distribution of snow water equivalent is essential given its global importance for understanding climate dynamics and climate change, and as a source of f...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64489cee904bf0b07742eaa2f6991c53
https://doi.org/10.1002/essoar.10507610.1

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Evaluating Uncertainty in Fluvial Geomorphic Response to Dam Removal

Autor: Hoshin V. Gupta, Peng Hao Chiu, Chia Chu Chu, Yuan-Heng Wang, Gene Jiing-Yun You

Publikováno v: Journal of Hydrologic Engineering. 25

Dam removal tends to produce a series of changes in river morphology. Whereas decisions pertaining to dam removal are typically evaluated from a deterministic viewpoint, this study develops...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b4e79183d60b94973108edc8c3026d54
https://doi.org/10.1061/(asce)he.1943-5584.0001917

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