Zobrazeno 1 - 10 of 51 pro vyhledávání: '"Junaidah Ariffin"'
1
Akademický článek
Nonlinear multi independent variables in quantifying river bank erosion using Neural Network AutoRegressive eXogenous (NNARX) model
Autor: Azlinda Saadon, Jazuri Abdullah, Ihsan Mohd Yassin, Nur Shazwani Muhammad, Junaidah Ariffin
Publikováno v: Heliyon, Vol 10, Iss 4, Pp e26252- (2024)
This study proposed a novel application of Neural Network AutoRegressive eXogenous (NNARX) model in predicting nonlinear behaviour of riverbank erosion rates which is difficult to be achieved with good accuracy using conventional approaches. This mod
Externí odkaz: https://doaj.org/article/5600160ad1bb4e2b986f0e41898773f4
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2
Akademický článek
Robustness Analysis of Model Parameters for Sediment Transport Equation Development
Autor: Nadiatul Adilah Ahmad Abdul Ghani, Junaidah Ariffin, Duratul Ain Tholibon
Publikováno v: ASM Science Journal, Vol 12, Pp 1-17 (2019)
Robustness analysis of model parameters for sediment transport equation development is carried out using 256 hydraulics and sediment data from twelve Malaysian rivers. The model parameters used in the analyses include parameters in equations by Acker
Externí odkaz: https://doaj.org/article/ed6a7357db064dbcb62d6b601962c967
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3
Akademický článek
Streambank Erosion Prediction for Natural Channel using Artificial Neural Network Autoregressive Exogenous (ANNARX) Model
Autor: Azlinda Saadon, Junaidah Ariffin
Publikováno v: MATEC Web of Conferences, Vol 255, p 06003 (2019)
This study aims to develop a streambank erosion prediction model using Artificial Neural Network Autoregressive Exogenous (ANNARX) for natural channels. ANNARX is one type of ANN models and it is a supervised network that trains spasmodic data sets.
Externí odkaz: https://doaj.org/article/1d60504aa7e74c13a8f49ba0f7b4dc8b
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4
Development of riverbank erosion rate predictor for natural channels using NARX-QR Factorization model: a case study of Sg. Bernam, Selangor, Malaysia
Autor: Azlinda Saadon, Junaidah Ariffin, Jazuri Abdullah, Nur Shazwani Muhammad
Publikováno v: Neural Computing and Applications. 32:14839-14849
This study presents a novel and comprehensive model development technique to predict the riverbank erosion rate for a natural channel using a Nonlinear AutoRegressive model with eXogenous inputs and QR factorization parameter estimation, known as the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c4830843d32afa6d93ff9f15c3ad279c
https://doi.org/10.1007/s00521-020-04835-5
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5
Robustness Analysis of Model Parameters for Sediment Transport Equation Development
Autor: Duratul Ain Tholibon, Junaidah Ariffin, Nadiatul Adilah Ahmad Abdul Ghani
Publikováno v: ASM Science Journal. 12:1-17
Robustness analysis of model parameters for sediment transport equation development is carried out using 256 hydraulics and sediment data from twelve Malaysian rivers. The model parameters used in the analyses include parameters in equations by Acker
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::51a76f0a6d9cfe1f1452d3660162288d
https://doi.org/10.32802/asmscj.2019.268
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7
Green Technology Design Approach for Liveable Park of Tasik Biru Kundang, Malaysia
Autor: Rijal Saffuan, Zamreen Amin, Junaidah Ariffin
Publikováno v: Asian Journal of Environment-Behaviour Studies. 3:91-98
Green Technology design approach is a new solution that must be applicable to preserve a nature and reduce the pollution. There are so much innovation could be used to in the development of the park to reduce the electricity use, eco-friendly and liv
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fc95effc6097e216537caab7e7f0f8a1
https://doi.org/10.21834/aje-bs.v3i7.262
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8
Streambank Erosion Prediction
Autor: Jazuri Abdullah, Junaidah Ariffin, Azlinda Saadon
Publikováno v: IOP Conference Series: Earth and Environmental Science. 685:012007
Bank instability as a result of flow fluctuations may lead to massive bank erosions and subsequent damage of adjacent properties. Continuous erosion process promotes change in the river morphology, sedimentation problems due to the presence of second
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65628a01448aeaf1d4f12c894caaab95
https://doi.org/10.1088/1755-1315/685/1/012007
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9
Predictive models for the estimation of riverbank erosion rates
Autor: Nur Shazwani Muhammad, Jazuri Abdullah, Pierre Y. Julien, Azlinda Saadon, Junaidah Ariffin
Publikováno v: CATENA. 196:104917
Riverbank erosion is a complex soil-water interaction process, highly dynamic and constantly changing. Consequently, the estimation of riverbank erosion rate requires an in-depth understanding between the riverbank properties and the hydraulic charac
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ecd9a473f6205778b1492afc30662444
https://doi.org/10.1016/j.catena.2020.104917
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