Yazar
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An ensemble genetic programming approach to develop incipient sediment motion models in rectangular channels
Sheikh Khozani, Z.; Safari, M.J.S.; Danandeh Mehr, A.; Wan Mohtar, W.H.M. (Journal of Hydrology, 2020)Assimilating unique features of genetic programming (GP) and gene expression programming (GEP), this study introduces a hybrid algorithm which results in promising incipient non-cohesive sediment motion models. The new ... -
Application of Soft Computing Techniques for Particle Froude Number Estimation in Sewer Pipes
Danandeh Mehr, A.; Safari, M.J.S. (Journal of Pipeline Systems Engineering and Practice, 2020)Sedimentation in sewer networks is a major problem in urban hydrology. In comparison to the well-known classic sediment transport models, this study investigates the capabilities of soft computing methods, including multigene ... -
Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms
Khosravi, K.; Safari, M.J.S.; Cooper, J.R. (2021)Scour depth prediction and its prevention is one of the most important issues in channel and waterway design. However the potential for advanced machine learning (ML) algorithms to provide models of scour depth has yet to ... -
Closure to the discussion of Ebtehaj et al. on "Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach"
Mehdizadeh, S.; Fathian, F.; Safari, M.J.S.; Adamowski, J.F. (Elsevier, 2021)In this closure, we respond to the comments of Ebtehaj et al. (2020), and also provide additional details regarding several features of our study. -
Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes
Ebtehaj, I.; Bonakdari, H.; Safari, M.J.S.; Gharabaghi, B.; Zaji, A.H.; Riahi Madavar, H.; Sheikh Khozani, Z.; Es-haghi, M.S.; Shishegaran, A.; Danandeh Mehr, A. (International Journal of Sediment Research, 2020)Mitigation of sediment deposition in lined open channels is an essential issue in hydraulic engineering practice. Hence, the limiting velocity should be determined to keep the channel bottom clean from sediment deposits. ... -
Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach
Mehdizadeh, S.; Fathian, F.; Safari, M.J.S.; Adamowski, J.F. (Journal of Hydrology, 2019)River flow rates are important for water resources projects. Given this, the current study explored the use of autoregressive (AR) and moving average (MA) techniques as individual time series models and compared them to ... -
Decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes
Safari, M.J.S. (Water Science and Technology, 2019)Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity of the channel. In this respect, the self-cleansing concept has been widely used for sewers and urban drainage systems ... -
Developing novel hybrid models for estimation of daily soil temperature at various depths
Mehdizadeh, S.; Fathian, F.; Safari, M.J.S.; Khosravi, A. (Soil and Tillage Research, 2020)Estimation of soil temperature (ST) as one of the vital parameters of soil, which has an impact on many chemical and physical characteristics of soil, is of great importance in soil science. This study applies a time ... -
Discharge coefficient for vertical sluice gate under submerged condition using contraction and energy loss coefficients
Vaheddoost, B.; Safari, M.J.S.; Ilkhanipour Zeynali, R. (Elsevier, 2021)A novel method is suggested for the determination of flow discharge in vertical sluice gates with considerably small bias. First, in order to derive an equation for the discharge coefficient, energy-momentum equations are ... -
Drought modeling using classic time series and hybrid wavelet-gene expression programming models
Mehdizadeh, S.; Ahmadi, F.; Danandeh Mehr, A.; Safari, M.J.S. (Journal of Hydrology, 2020)The standardized precipitation evapotranspiration index (SPEI) at three different time scales (i.e., SPEI-3, SPEI-6, and SPEI-12) from six meteorology stations located in Turkey are modeled in this study. To this end, two ... -
Electrical energy demand prediction: A comparison between genetic programming and decision tree
Danandeh Mehr, A.; Bagheri, F.; Safari, M.J.S. (Gazi University Journal of Science, 2020)Several recent studies have used various data mining techniques to obtain accurate electrical energy demand forecasts in power supply systems. This paper, for the first time, compares the efficiency of the decision tree ... -
Experimental analysis for self-cleansing open channel design
Safari, M.J.S.; Aksoy, H. (Journal of Hydraulic Research, 2020)Self-cleansing is a hydraulic design concept for drainage systems for mitigation of sediment deposition. Experimental studies in the literature have mostly been performed in circular channels. In this study, experiments ... -
Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods
Safari, M.J.S. (Springer, 2021)Owing to the nonlinear and non-stationary nature of the suspended sediment transport in rivers, suspended sediment concentration (SSC) modeling is a challenging task in environmental engineering. Investigation of SSC is ... -
Hybrid models to improve the monthly river flow prediction: Integrating artificial intelligence and non-linear time series models
Fathian, F.; Mehdizadeh, S.; Kozekalani Sales, A.; Safari, M.J.S. (Journal of Hydrology, 2019)Prediction of river flow as a fundamental source of hydrological information plays a crucial role in various fields of water projects. In this study, at first, the capabilities of two time series analysis approaches, namely ... -
Hybridization of multivariate adaptive regression splines and random forest models with an empirical equation for sediment deposition prediction in open channel flow
Safari, M.J.S. (Journal of Hydrology, 2020)It has been known that the channel cross-section shape impacts on flow velocity at sediment deposition condition; however, existing models only apply to specific cross-section shapes and there has been a lack of a general ... -
Invasive weed optimization-based adaptive neuro-fuzzy inference system hybrid model for sediment transport with a bed deposit
Safari, M.J.S.; Mohammadi, B.; Kargar, K. (Journal of Cleaner Production, 2020)Inasmuch as channels are designed to mitigate continues sedimentation, sediment transport models have been developed to calculate flow velocity to keep sediment particles in motion. In order to promote the computation ... -
Multiple genetic programming: a new approach to improve genetic-based month ahead rainfall forecasts
Danandeh Mehr, A.; Safari, M.J.S. (Environmental Monitoring and Assessment, 2020)It is well documented that standalone machine learning methods are not suitable for rainfall forecasting in long lead-time horizons. The task is more difficult in arid and semiarid regions. Addressing these issues, the ... -
Pipe failure rate prediction in water distribution networks using multivariate adaptive regression splines and random forest techniques
Shirzad, A.; Safari, M.J.S. (Urban Water Journal, 2019)This paper presents the results of a comparison between multivariate adaptive regression splines (MARS) and random forest (RF) techniques in pipe failure prediction in two water distribution networks. In this regard, pipe ... -
Rainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm
Safari, M.J.S.; Rahimzadeh Arashloo, S.; Danandeh Mehr, A. (Journal of Hydrology, 2020)In this study, Regression in the Reproducing Kernel Hilbert Space (RRKHS) technique which is a non-linear regression approach formulated in the reproducing kernel Hilbert space (RRKHS) is applied for rainfall-runoff (R-R) ... -
Sediment transport modeling in non-deposition with clean bed condition using different tree-based algorithms
Gul, E.; Safari, M.J.S.; Haghighi, A.T.; Mehr, A.D. (Public Library of Science, 2021)To reduce the problem of sedimentation in open channels, calculating flow velocity is critical. Undesirable operating costs arise due to sedimentation problems. To overcome these problems, the development of machine learning ...
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