Corrosion current density prediction of 3C steel under different seawater environment via artificial neural network
Mohammad Fakhratul Ridwan Zulkifli(Universiti Malaysia Terengganu), W.B. Wan Nik(Universiti Malaysia Terengganu), Samsuri Abdullah(Universiti Malaysia Terengganu), S. Wahab(Universiti Malaysia Terengganu), Suriani Binti Mat Jusoh(Universiti Malaysia Terengganu)
Cited by 0
Related Papers
Critical Review of Natural Fiber Reinforced Hybrid Composites: Processing, Properties, Applications and Cost
|Polymers|2021|243
Air quality status during 2020 Malaysia Movement Control Order (MCO) due to 2019 novel coronavirus (2019-nCoV) pandemic
|The Science of The Total Environment|2020|225
Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction
|Engineering Applications of Computational Fluid Mechanics|2020|113
Forecasting Particulate Matter Concentration Using Linear and Non-Linear Approaches for Air Quality Decision Support
|Atmosphere|2019|82
Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia
|International Journal of Environmental Science and Technology|2021|79