Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Abdelrahman Kamal Hamed"'
Publikováno v:
Water Science, Vol 38, Iss 1, Pp 1-20 (2024)
ABSTRACTThis study utilized machine learning models to predict the discharge coefficient for a sharp-crested triangular side orifice (TSO). The chosen models were the Artificial Neural Network (ANN) and Gene Expression Programming (GEP). Development
Externí odkaz:
https://doaj.org/article/41ae976da53e4f04a1af90048a80d676
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Concrete compressive strength (CS) is a crucial performance parameter in concrete structure design. Reliable strength prediction reduces costs and time in design and prevents material waste from extensive mixture trials. Machine learning tec
Externí odkaz:
https://doaj.org/article/867cd2da4e6f4f9ebc1578d511e7c220