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Comparison of hybrid deep learning models for estimation of the time-dependent scour depth downstream of river training structures
2024-12-12 Hits:Date of Publication:2024-11-08
Journal:Physics of Fluids
Volume:36
Issue:10
ISSN No.:1070-6631
Key Words:Adaptive boosting; Convolutional neural network; Deep neural networks; Down-stream; Gradient boosting; Learning models; Modeling performance; Model outputs; Point wise; River training structure; Scour; Scour depth; Time-dependent scours; Weirs
Date of Publication:2024-11-08
AZMA ALIASGHAR
Date of Birth:1990-03-21
Gender:Male
Alma Mater:北京工业大学
Main positions:Associate Professor
Degree:Doctoral Degree
School/Department:Hydraulic Engineering (Accepting master's students)
Contact Information:aa.azma1990@dlut.edu.cn
https://scholar.google.com/citations?user=fdjZwh0AAAAJ&hl=en
E-Mail:aa.azma1990@dlut.edu.cn