| Machine vision-based model for spalling detection and quantification in subway networks T Dawood, Z Zhu, T Zayed Automation in Construction 81, 149-160, 2017 | 155 | 2017 |
| Corrosiveness mapping of bridge decks using image-based analysis of GPR data M Abouhamad, T Dawood, A Jabri, M Alsharqawi, T Zayed Automation in Construction 80, 104-117, 2017 | 86 | 2017 |
| Toward urban sustainability and clean potable water: Prediction of water quality via artificial neural networks T Dawood, E Elwakil, HM Novoa, JFG Delgado Journal of Cleaner Production 291, 125266, 2021 | 78 | 2021 |
| Artificial intelligence for the modeling of water pipes deterioration mechanisms T Dawood, E Elwakil, HM Novoa, JFG Delgado Automation in Construction 120, 103398, 2020 | 74 | 2020 |
| Water pipe failure prediction and risk models: state-of-the-art review T Dawood, E Elwakil, HM Novoa, JF Gárate Delgado Canadian Journal of Civil Engineering 47 (10), 1117-1127, 2020 | 62 | 2020 |
| Clustering-based threshold model for condition assessment of concrete bridge decks with ground-penetrating radar K Dinh, T Zayed, S Moufti, A Shami, A Jabri, M Abouhamad, T Dawood Transportation Research Record 2522 (1), 81-89, 2015 | 52 | 2015 |
| Deterioration mapping in subway infrastructure using sensory data of GPR T Dawood, Z Zhu, T Zayed Tunnelling and Underground Space Technology 103, 103487, 2020 | 49 | 2020 |
| Computer vision–based model for moisture marks detection and recognition in subway networks T Dawood, Z Zhu, T Zayed Journal of Computing in Civil Engineering 32 (2), 04017079, 2018 | 47 | 2018 |
| Condition assessment of concrete-made structures using ground penetrating radar M Alsharqawi, T Dawood, S Abdelkhalek, M Abouhamad, T Zayed Automation in Construction 144, 104627, 2022 | 27 | 2022 |
| Soft computing for modeling pipeline risk index under uncertainty T Dawood, E Elwakil, HM Novoa, JFG Delgado Engineering Failure Analysis 117, 104949, 2020 | 20 | 2020 |
| Pressure data-driven model for failure prediction of PVC pipelines T Dawood, E Elwakil, HM Novoa, JFG Delgado Engineering Failure Analysis 116, 104769, 2020 | 18 | 2020 |
| Ensemble intelligent systems for predicting water network condition index T Dawood, E Elwakil, HM Novoa, JFG Delgado Sustainable Cities and Society 73, 103104, 2021 | 12 | 2021 |
| Data fusion of multiple machine intelligent systems for the condition assessment of subway structures T Dawood, E Elwakil, T Zayed, Z Zhu Tunnelling and Underground Space Technology 126, 104512, 2022 | 11 | 2022 |
| A contamination risk model for water distribution networks T Dawood, E Elwakil, HM Novoa, JFG Delgado Proceedings of International Conference on Engineering, Science and …, 2019 | 10 | 2019 |
| Watermain's failure index modeling via Monte Carlo simulation and fuzzy inference system T Dawood, E Elwakil, HM Novoa, JFG Delgado Engineering Failure Analysis 134, 106100, 2022 | 9 | 2022 |
| Detection and quantification of spalling distress in subway networks T Dawood, Z Zhu, T Zayed Proceedings of the 21st International Symposium on Advancement of …, 2018 | 8 | 2018 |
| Special issue “Ground Penetrating Radar (GPR) applications in civil infrastructure systems” T Zayed, T Dawood, M Abouhamad, M Alsharqawi Remote sensing 14 (22), 2022 | 4 | 2022 |
| 3D thermal and spatial modeling of a subway tunnel: A case study GA Lafi, Z Zhu, T Dawood, T Zayed Computing in Civil Engineering 2017, 386-394, 2017 | 4 | 2017 |
| GPR-based deterioration mapping in subway networks T Dawood, Z Zhu, T Zayed Construction Research Congress 2018, 351-361, 2018 | 3 | 2018 |
| An Intelligent Approach for the Condition Assessment of Watermains T Dawood, E Elwakil, HM Novoa, JFG Delgado 2021 IEEE Conference on Technologies for Sustainability (SusTech), 1-7, 2021 | 2 | 2021 |
Tarek ZayedProfessor at The Hong Kong Polytechnic UniversityZweryfikowany adres z polyu.edu.hk
