| Intelligent prediction of concrete carbonation depth using neural networks P Akpinar, FID Uwanuakwa Bulletin of the Transilvania University of Brasov. Mathematics, Informatics …, 2016 | 29 | 2016 |
| Investigation of the parameters influencing progress of concrete carbonation depth by using artificial neural networks P Akpinar, ID Uwanuakwa Materiales de Construcción 70 (337), e209-e209, 2020 | 24 | 2020 |
| Artificial intelligence prediction of rutting and fatigue parameters in modified asphalt binders ID Uwanuakwa, SIA Ali, MRM Hasan, P Akpinar, A Sani, KA Shariff Applied Sciences 10 (21), 7764, 2020 | 22 | 2020 |
| Application of deep learning in structural health management of concrete structures ID Uwanuakwa, JB Idoko, E Mbadike, R Reşatoğlu, G Alaneme Proceedings of the institution of civil engineers-bridge engineering, 1-8, 2022 | 21 | 2022 |
| Predicting the behaviour of stabilized lateritic soils treated with green crude oil (GCO) by analysis of variance approaches K Onyelowe, K Onwa, I Uwanuakwa International Journal of Mining and Geo-Engineering 52 (1), 37-42, 2018 | 14 | 2018 |
| Traffic Warning System for Wildlife Road Crossing Accidents Using Artificial Intelligence ID Uwanuakwa, UG Isienyi, J Bush Idoko, AA Shaban Ismael International Conference on Transportation and Development 2020, 194-203, 2020 | 12 | 2020 |
| Deep learning modelling and generalisation of carbonation depth in fly ash blended concrete ID Uwanuakwa Arabian Journal for Science and Engineering, 2021 | 9 | 2021 |
| Investigations on the influence of variations in hidden neurons and training data percentage on the efficiency of concrete carbonation depth prediction with ann ID Uwanuakwa, P Akpinar International Conference on Theory and Application of Soft Computing …, 2019 | 8 | 2019 |
| Comparing machine learning models with Witczak NCHRP 1-40D model for hot-mix asphalt dynamic modulus prediction ID Uwanuakwa, A Busari, SIA Ali, MR Mohd Hasan, A Sani, SI Abba Arabian Journal for Science and Engineering 47 (10), 13579-13591, 2022 | 3 | 2022 |
| Enhancing the reliability and accuracy of machine learning models for predicting carbonation progress in fly ash‐concrete: A multifaceted approach ID Uwanuakwa, P Akpınar Structural Concrete, 2024 | 1 | 2024 |
| The effect of corrosion on the capability of asphalt mortar to induce healing via microwave heating system MFHM Ghazali, MRM Hasan, AA Seman, AH Salleh, N Mukhtar, H Osman, ... Construction and Building Materials 407, 133495, 2023 | 1 | 2023 |
| Deep Learning Classification of Tropical Soils UN Okonkwo, ID Uwanuakwa Proceeding of the Sustainable Engineering and Industrial Technology …, 2021 | 1 | 2021 |
| 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 A Vollpracht, GJG Gluth, B Rogiers, ID Uwanuakwa, QT Phung, ... | | 2024 |
| A Metaheuristic Approach of predicting the Dynamic Modulus in Asphalt Concrete IY Amir, AM Yusuf, ID Uwanuakwa Engineering, Technology & Applied Science Research 14 (2), 13106-13111, 2024 | | 2024 |
| Artificial hummingbird algorithm-optimized boosted tree for improved rainfall-runoff modelling LN Umba, IY Amir, G Gelete, H Gökçekuş, ID Uwanuakwa Journal of Hydroinformatics 26 (1), 203-213, 2024 | | 2024 |
| Analytical study of silane-based and wax-based additives on the interfacial bonding characteristics between natural rubber modified binder and different aggregate types A Sani, MRM Hasan, KA Shariff, N Mukhtar, MN Akhtar, ID Uwanuakwa, ... Journal of Road Engineering 3 (2), 171-185, 2023 | | 2023 |
| Effect of polymer molecular weight on the rheology of SBS polymer-modified asphalt binder ID Uwanuakwa, M Adamu, SIA Ali, P Akpinar, MRM Hasan, KA Shariff, ... Innovative Infrastructure Solutions 8 (3), 89, 2023 | | 2023 |
| INVESTIGATIONS ON THE PREDICTION OF CONCRETE CARBONATION DEPTH BY ARTIFICIAL NEURAL NETWORKS ID UWANUAKWA NEAR EAST UNIVERSITY, 2016 | | 2016 |
