Predicting non-deposition sediment transport in sewer pipes using Random forest

Predicting bedload sediment transport of non-cohesive material in sewer pipes using evolutionary polynomial regression – multi-objective genetic algorithm strategy

(2020) Carlos Montes et al.   Urban Water Journal

Non-deposition self-cleansing models for large sewer pipes

(2020) Carlos Montes et al.   WATER SCIENCE AND TECHNOLOGY

Experimental analysis for self-cleansing open channel design

(2020) Mir Jafar Sadegh Safari et al.   JOURNAL OF HYDRAULIC RESEARCH

DT, GR and MARS models for sediment transport in sewer pipes

(2019) Mir Jafar Sadegh Safari   WATER SCIENCE AND TECHNOLOGY

Sediment transport modeling in open channels using neuro-fuzzy and gene expression programming techniques

(2019) Katayoun Kargar et al.   WATER SCIENCE AND TECHNOLOGY

Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes

(2019) Isa Ebtehaj et al.   International Journal of Sediment Research

Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit

(2018) Mir Jafar Sadegh Safari et al.   International Journal of Sediment Research

Experimental Studies of Self-Cleansing Drainage System Design: A Review

(2018) Mir Jafar Sadegh Safari et al.   Journal of Pipeline Systems Engineering and Practice

Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review

(2018) Sohrab Zendehboudi et al.   APPLIED ENERGY

Self-cleansing design of sewers: definition of the optimum deposited bed thickness

(2018) Mir Jafar Sadegh Safari et al.   WATER ENVIRONMENT RESEARCH

Design of a Hybrid ANFIS–PSO Model to Estimate Sediment Transport in Open Channels

(2018) Isa Ebtehaj et al.   Iranian Journal of Science and Technology-Transactions of Civil Engineering

Estimation of bedload discharge in sewer pipes with different boundary conditions using an evolutionary algorithm

(2017) Kiyoumars Roushangar et al.   International Journal of Sediment Research

Sediment transport modeling in deposited bed sewers: unified form of May's equations using the particle swarm optimization algorithm

(2017) Mir Jafar Sadegh Safari et al.   WATER SCIENCE AND TECHNOLOGY

A support vector regression-firefly algorithm-based model for limiting velocity prediction in sewer pipes

(2016) I. Ebtehaj et al.   WATER SCIENCE AND TECHNOLOGY

Non-deposition design criteria for sewers with part-full flow

(2010) Natchapon Vongvisessomjai et al.   Urban Water Journal