Search Results - "Seyedian, Seyed Morteza"
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1
Effect of bank slope on the flow patterns in river intakes
Published in Journal of hydrodynamics. Series B (01-07-2014)“…In this work, we studied the dimensions of stream tube in the vertical as well as inclined bank conditions. Data were collected from both a physical model and…”
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2
Uncertainty analysis of discharge coefficient predicted for rectangular side weir using machine learning methods
Published in Journal of Hydrology and Hydromechanics (01-03-2024)“…The present study used three machine learning models, including Least Square Support Vector Regression (LSSVR) and two non-parametric models, namely, Quantile…”
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3
Comparison of Bayesian, k-Nearest Neighbor and Gaussian process regression methods for quantifying uncertainty of suspended sediment concentration prediction
Published in The Science of the total environment (20-04-2022)“…Suspended sediment transport in river system is a complex process influenced by many factors that their interactions lead to nonlinear and high scatter of…”
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Improving the Reliability of Compound Channel Discharge Prediction Using Machine Learning Techniques and Resampling Methods
Published in Water resources management (01-09-2024)“…Compound channels play an important role in hydraulic and hydrological engineering. Many rivers and streams have naturally compound channels, which are…”
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5
Reliable prediction of the discharge coefficient of triangular labyrinth weir based on soft computing techniques
Published in Flow measurement and instrumentation (01-08-2023)“…Weirs are important hydraulic structures widely used to control the flow rates in open channels and rivers. As a remarkable parameter, the discharge…”
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6
Assessing ANFIS accuracy in estimation of suspended sediments
Published in Građevinar (Zagreb) (01-12-2015)“…Capabilities offered by an adaptive neuro-fuzzy inference system (ANFIS) in the estimation of daily sediment loads at four stations in the USA, are explored in…”
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New insights into culvert scour depth calculation by soft computing models using multi-model ensemble approach and uncertainty analysis
Published in ISH journal of hydraulic engineering (26-05-2024)“…The accurate prediction of scour depth in culverts is crucial to ensure public safety and due to the uncertainties in classical empirical/deterministic…”
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Evaluating the Efficiency of K nearest Neighbor and Fuzzy C-Means Clustering Based Methods in the Outputs of Hydrological Models
Published in پژوهشهای آبخیزداری (01-09-2019)“…Because of incomplete model input and imperfections of the model structure there is not any single hydrological model that has the best performance in…”
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Comparative uncertainty analysis of soft computing models predicting scour depth downstream of grade-control structures
Published in Arabian journal of geosciences (01-03-2022)“…The main focus of the present study is to develop GEP, ELM, LSSVM, and GMDH soft computing models predicting the scour depth of GCSs enhanced by an…”
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10
Evaluation of Check Dams’ Height on Pick and Volume Flood (Case Study: Gorgandooz Watershed)
Published in ʻUlūm va muhandisī-i ābyārī (01-12-2016)“…Watershed structures are among of expensive projects that are constructed to decrease erosion and sediment load and decreasing flood in watershed. Constructing…”
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11
Determination of Stream Tube Dimensions and the Strength of Secondary Circulation at Lateral Intakes
Published in Āb va fāz̤ilāb : majallah-i ʻilmī, pizhūhishī (01-01-2012)“…In lateral intakes a portion of stream flow which enters the intake is divided from the upstream of the intake and is called stream tube. Past researchers have…”
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Procjena točnosti ANFIS-a u prognoziranju lebdećeg nanosa
Published in Građevinar (14-01-2016)“…U radu se istražuju mogućnosti koje pruža prilagodljivi sustav neizrazitog zaključivanja zasnovanog na neuronskoj mreži (ANFIS) u predviđanju dnevnih količina…”
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