Ehsan Afaridegan

Работ: 2

Department of Civil Engineering, Yazd University, Yazd 89158-18411, Iran

1. Prediction and Uncertainty Quantification of Flow Rate Through Rectangular Top-Hinged Gate Using Hybrid Gradient Boosting Models

   Pourya Nejatipour, Giuseppe Oliveto, I.B. Sapaev +2

   СтатьяHydraulic flow and structuresWater2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001455

2. Evaluation of advanced AI models for accurate prediction and uncertainty analysis of aeration inception in hydrofoil-crested stepped spillways

   Pourya Nejatipour, Behnam Kiani, Shiva Kiani Salavat +4

   СтатьяHydraulic flow and structuresScientific Reports2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.013961