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ORCIDMir Jafar Sadegh Safari
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2020 – today
- 2024
[j9]Mir Jafar Sadegh Safari
, Shervin Rahimzadeh Arashloo, Mehrnoush Kohandel Gargari:
Lq-norm multiple kernel fusion regression for self-cleansing sediment transport. Artif. Intell. Rev. 57(2): 27 (2024)- [j8]Enes Gul, Mir Jafar Sadegh Safari:
Hybrid Generalized Regularized Extreme Learning Machine Through Gradient-Based Optimizer Model for Self-Cleansing Nondeposition with Clean Bed Mode of Sediment Transport. Big Data 12(4): 282-298 (2024) - [j7]Babak Vaheddoost, Shervin Rahimzadeh Arashloo, Mir Jafar Sadegh Safari:
Vertical and Horizontal Water Penetration Velocity Modeling in Nonhomogenous Soil Using Fast Multi-Output Relevance Vector Regression. Big Data 12(4): 299-311 (2024) - [j6]Deepti Shakya, Vishal Deshpande, Mir Jafar Sadegh Safari, Mayank Agarwal:
Performance evaluation of machine learning algorithms for the prediction of particle Froude number (Frn) using hyper-parameter optimizations techniques. Expert Syst. Appl. 256: 124960 (2024) - 2022
- [j5]Mir Jafar Sadegh Safari, Shervin Rahimzadeh Arashloo, Babak Vaheddoost:
Fast multi-output relevance vector regression for joint groundwater and lake water depth modeling. Environ. Model. Softw. 154: 105425 (2022) - [j4]Saeed Samadianfard, Katayoun Kargar, Sadra Shadkani, Sajjad Hashemi, Akram Abbaspour, Mir Jafar Sadegh Safari:
Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods. Neural Comput. Appl. 34(4): 3033-3051 (2022) - [j3]Khabat Khosravi, Mir Jafar Sadegh Safari, Zohreh Sheikh Khozani, Brian Mark Crookston, Ali Golkarian:
Stacking ensemble-based hybrid algorithms for discharge computation in sharp-crested labyrinth weirs. Soft Comput. 26(22): 12271-12290 (2022) - 2021
- [j2]Mir Jafar Sadegh Safari, Shervin Rahimzadeh Arashloo:
Sparse kernel regression technique for self-cleansing channel design. Adv. Eng. Informatics 47: 101230 (2021) - [j1]Mir Jafar Sadegh Safari, Shervin Rahimzadeh Arashloo:
Kernel ridge regression model for sediment transport in open channel flow. Neural Comput. Appl. 33(17): 11255-11271 (2021)
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