Hybrid integration of Computational Fluid Dynamics and Artificial Neural Networks for enhanced predictive modelling in hydraulic engineering

In recent years, the accurate prediction of fluid flow and the hydraulic properties of flow have become increasingly important for the management of underground and surface water systems and hydraulic structures. Computational Fluid Dynamics (CFD) has proven to be one of the most influential simulat...

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Bibliographic Details

Main Authors:	Muhamad Bashar, Nur Azwa, Mohd Arif Zainol, Mohd Remy Rozaini, Ahmad Mohtar, Intan Shafeenar, Mohd Radzi, Mohd Rashid
Format:	Monograph
Language:	en
Published:	Unit Penerbitan PKAPP 2025
Subjects:	Pulau Pinang Universiti Teknologi MARA
Online Access:	https://ir.uitm.edu.my/id/eprint/126851/1/126851.pdf https://ir.uitm.edu.my/id/eprint/126851/
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