大连理工大学主页平台管理系统 AZMA ALIASGHAR Comparison of hybrid deep learning models for estimation of the time-dependent scour depth downstream of river training structures Home

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AZMA ALIASGHAR. Enhancing CFD computational efficiency using hybrid data-driven and physics-based modeling, Case Studies in Thermal Engineering, 2026, 78, 107641.

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Next One:AZMA ALIASGHAR. Hybrid WPD–SSA machine learning transformer for modeling nonlinear dynamics of flow systems, Journal of Water Process Engineering, 2026, 82, 109448.

AZMA ALIASGHAR

Date of Birth:1990-03-21 Gender:Male Alma Mater:北京工业大学 Academic Titles:Associate Professor Degree:Doctoral Degree School/Department:Hydraulic Engineering (Accepting master's students) Contact Information: E-Mail:

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AZMA ALIASGHAR. Enhancing CFD computational efficiency using hybrid data-driven and physics-based modeling, Case Studies in Thermal Engineering, 2026, 78, 107641.