Browse by ["viewname_eprint_people" not defined]

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Number of items: 1.

Awolusi, T. F. and Oke, O.L. and Akinkurolere, O.O. and Atoyebi, O. D. (2018) Comparison of response surface methodology and hybrid-training approach of artificial neural network in modelling the properties of concrete containing steel fibre extracted from waste tyres. CIVIL & ENVIRONMENTAL ENGINEERING, 6.

This list was generated on Sat Nov 23 11:35:28 2024 UTC.
Landmark University Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.