Ikenna D. Uwanuakwa

Artificial Intelligence Prediction of Rutting and Fatigue Parameters in Modified Asphalt Binders

Ikenna D. Uwanuakwa, Shaban Ismael Albrka Ali‬, Mohd Rosli Mohd Hasan et al. · Applied Sciences · 2020 · 43 citations · Full text

Engineering, Civil Engineering, Materials Engineering +17

Investigation of the parameters influencing progress of concrete carbonation depth by using artificial neural networks

Ikenna D. Uwanuakwa · Materiales de Construcción · 2020 · 31 citations · Full text

Natural Sciences, Civil Engineering, Materials Science +17

Deep Learning Modelling and Generalisation of Carbonation Depth in Fly Ash Blended Concrete

Ikenna D. Uwanuakwa · Arabian Journal for Science and Engineering · 2020 · 24 citations

Architecture, Materials Engineering, Materials Science +14

Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches

Anya Vollpracht, Gregor J. G. Gluth, Bart Rogiers et al. · Materials and Structures · 2024 · 24 citations · Full text

Engineering, Civil Engineering, Materials Engineering +16

Application of deep learning in structural health management of concrete structures

Ikenna D. Uwanuakwa, John Bush Idoko, Elvis Michael Mbadike et al. · Proceedings of the Institution of Civil Engineers - Bridge Engineering · 2022 · 22 citations

Computing, Computer Science, Computer Vision +16