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Ameen Mohammed Salih Ameen
Researcher at University of Baghdad
Publications - 10
Citations - 174
Ameen Mohammed Salih Ameen is an academic researcher from University of Baghdad. The author has contributed to research in topics: Turbine & Francis turbine. The author has an hindex of 5, co-authored 7 publications receiving 86 citations. Previous affiliations of Ameen Mohammed Salih Ameen include University of Malaya.
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Journal ArticleDOI
Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region
Zaher Mundher Yaseen,Wan Hanna Melini Wan Mohtar,Ameen Mohammed Salih Ameen,Isa Ebtehaj,Siti Fatin Mohd Razali,Hossein Bonakdari,Sinan Q. Salih,Nadhir Al-Ansari,Shamsuddin Shahid +8 more
TL;DR: The performance of the bio-inspired adaptive neuro-fuzzy inference system (ANFIS) models for forecasting highly non-linear streamflow of Pahang River indicates that ANFIS-PSO model can be used for reliable forecasting of highly stochastic river flow in tropical environment.
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Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting
Hai Tao,Ali Omran Al-Sulttani,Ameen Mohammed Salih Ameen,Zainab Hasan Ali,Nadhir Al-Ansari,Sinan Q. Salih,Reham R. Mostafa +6 more
TL;DR: The hydrological process has a dynamic nature characterised by randomness and complex phenomena, and the application of machine learning (ML) models in forecasting river flow has grown rapidly.
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State-of-the Art-Powerhouse, Dam Structure, and Turbine Operation and Vibrations
Zaher Mundher Yaseen,Ameen Mohammed Salih Ameen,Mohammed Suleman Aldlemy,Mumtaz Ali,Haitham Abdulmohsin Afan,Senlin Zhu,Ahmed Mohammed Sami Al-Janabi,Nadhir Al-Ansari,Tiyasha Tiyasha,Hai Tao +9 more
TL;DR: In this article, the authors conducted a comprehensive review of studies performed on dams, powerhouses, and turbine vibration, focusing on the vibration of two turbine units: Kaplan and Francis turbine units.
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A Systematic Operation Program of a Hydropower Plant Based on Minimizing the Principal Stress : Haditha Dam Case Study
Jing Li,Ameen Mohammed Salih Ameen,Thamer Ahmad Mohammad,Nadhir Al-Ansari,Zaher Mundher Yaseen +4 more
TL;DR: In this article, an Earthfill dam that includes an earthfill dam and a dam reservoir is described, where the dam operation and management have become more complex recently because of the need for considering hydraulic structure sustainability and environmental protect on An Earthfill Dam that includes a
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Development of new computational machine learning models for longitudinal dispersion coefficient determination: case study of natural streams, United States
Hai Tao,Sinan Q. Salih,Atheer Yousif Oudah,Sani Isah Abba,Ameen Mohammed Salih Ameen,Salih M. Awadh,Omer A. Alawi,Reham R. Mostafa,U. Surendran,Zaher Mundher Yaseen +9 more
TL;DR: XGboost-Grid reported the best prediction results over the training and testing phase compared to RF and GTB models, and the development of the newly established machine learning model revealed an excellent computed-aided technology for the Kx simulation.