Zobrazeno 1 - 10
of 488
pro vyhledávání: '"Kwok Wing Chau"'
Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models
Autor:
Guo Chun Wang, Qian Zhang, Shahab S. Band, Majid Dehghani, Kwok wing Chau, Quan Thanh Tho, Senlin Zhu, Saeed Samadianfard, Amir Mosavi
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 16, Iss 1, Pp 1364-1381 (2022)
Hydrological drought forecasting is a key component in water resources modeling as it relates directly to water availability. It is crucial in managing and operating dams, which are constructed in rivers. In this study, multiple extreme learning mach
Externí odkaz:
https://doaj.org/article/8bd88d188cb045a28f15ee8664b50df5
Autor:
Ghada Abdalrahman, Sai Hin Lai, Pavitra Kumar, Ali Najah Ahmed, Mohsen Sherif, Ahmed Sefelnasr, Kwok Wing Chau, Ahmed Elshafie
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 16, Iss 1, Pp 397-421 (2022)
Predicting the infiltration rate (IR) of treated wastewater (TWW) is essential in controlling clogging problems. Most researchers that predict the IR using neural network models considered the characteristics parameters of soil without considering th
Externí odkaz:
https://doaj.org/article/15a8f999912b4da5908ffe9c097d17a8
Autor:
Marwah Sattar Hanoon, Ali Najah Ahmed, Pavitra Kumar, Arif Razzaq, Nur’atiah Zaini, Yuk Feng Huang, Mohsen Sherif, Ahmed Sefelnasr, Kwok wing Chau, Ahmed El-Shafie
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 16, Iss 1, Pp 1673-1689 (2022)
Modeling wind speed has a significant impact on wind energy systems and has attracted attention from numerous researchers. The prediction of wind speed is considered a challenging task because of its natural nonlinear and random characteristics. The
Externí odkaz:
https://doaj.org/article/74aa25954fad41569ea114f37ecafc06
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 16, Iss 1, Pp 965-976 (2022)
Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high discharge coefficients. Computational fluid dynamics (CFD) is considered
Externí odkaz:
https://doaj.org/article/6081fb16983b4993b3305beca5ad74c3
Autor:
Bahman Najafi, Farid Haghighatshoar, Sina Ardabili, Shahab S. Band, Kwok wing Chau, Amir Mosavi
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 15, Iss 1, Pp 236-250 (2021)
In the present study, water electrolysis was employed for Hydroxy gas (HHO) production as a gaseous additive. The engine test was performed using the Diesel, B5, and B20 as pilot fuels. HHO was imported into the engine's combustion chamber at three v
Externí odkaz:
https://doaj.org/article/6c3029d3c6c24b3990537d0659873b88
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 13, Iss 1, Pp 519-528 (2019)
In this study, the boundary element method–finite element method (BEM-FEM) model is employed to investigate the sloshing and flexibility terms of elastic submerged structures on the behavior of a coupled domain. The methods are finite element and b
Externí odkaz:
https://doaj.org/article/565b1a070aca45b18b0c47d8349f2096
Autor:
Mohammad Ghalandari, Elaheh Mirzadeh Koohshahi, Fatemeh Mohamadian, Shahabbodin Shamshirband, Kwok Wing Chau
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 13, Iss 1, Pp 254-264 (2019)
Silver nano particles have antimicrobial property which makes them appropriate for disinfection. Due to their antimicrobial feature, these particles are applicable for root canal irrigation. Fluid flow inside root canal and its appropriate circulatio
Externí odkaz:
https://doaj.org/article/012d4543c53c46ed9d35a4198bbea375
Autor:
Yi-yang Wang, Wenchuan Wang, Kwok-wing Chau, Dong-mei Xu, Hong-fei Zang, Chang-jun Liu, Qiang Ma
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 6, Pp 2561-2588 (2023)
This article proposes a multi-head attention flood forecasting model (MHAFFM) that combines a multi-head attention mechanism (MHAM) with multiple linear regression for flood forecasting. Compared to models based on Long Short-Term Memory (LSTM) neura
Externí odkaz:
https://doaj.org/article/8fc12b807b0a4da4955c65b2e062197b
Publikováno v:
Journal of Hydroinformatics. 25:943-970
In runoff prediction, the prediction accuracy is often affected by the non-linear and non-stationary characteristics of the runoff series. In this study, a coupled forecasting model is proposed that decomposes the original runoff series by an improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85623b2713b81e468afb7106f99c6484
https://doi.org/10.2166/hydro.2023.172
https://doi.org/10.2166/hydro.2023.172
Publikováno v:
Computer Modeling in Engineering & Sciences. 136:1603-1642
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c43bd1e901f6f5edda04ea491a72c746
https://doi.org/10.32604/cmes.2023.026231
https://doi.org/10.32604/cmes.2023.026231