Prediction of disc cutter life during shield tunneling with AI via the incorporation of a genetic algorithm into a GMDH-type neural network K Elbaz, SL Shen, A Zhou, ZY Yin, HM Lyu Engineering 7 (2), 238-251, 2021 | 154 | 2021 |
Prediction model of shield performance during tunneling via incorporating improved particle swarm optimization into ANFIS K Elbaz, SL Shen, WJ Sun, ZY Yin, A Zhou Ieee Access 8, 39659-39671, 2020 | 104 | 2020 |
Optimization of EPB shield performance with adaptive neuro-fuzzy inference system and genetic algorithm K Elbaz, SL Shen, A Zhou, DJ Yuan, YS Xu Applied Sciences 9 (4), 780, 2019 | 99 | 2019 |
Effect of pozzolan slurries on recycled aggregate concrete: Mechanical and durability performance WM Shaban, K Elbaz, J Yang, BS Thomas, X Shen, LH Li, Y Du, J Xie, ... Construction and Building Materials 276, 121940, 2021 | 87 | 2021 |
Real-time prediction of shield moving trajectory during tunnelling SL Shen, K Elbaz, WM Shaban, A Zhou Acta Geotechnica 17 (4), 1533-1549, 2022 | 60 | 2022 |
Investigation into performance of deep excavation in sand covered karst: a case report K Elbaz, SL Shen, Y Tan, WC Cheng Soils and Foundations 58 (4), 1042-1058, 2018 | 60 | 2018 |
Deep learning analysis for energy consumption of shield tunneling machine drive system K Elbaz, T Yan, A Zhou, SL Shen Tunnelling and Underground Space Technology 123, 104405, 2022 | 59 | 2022 |
Cutter-disc consumption during earth pressure balance tunnelling in mixed strata K Elbaz, SL Shen, WC Cheng, A Arulrajah Proceedings of the Institution of Civil Engineers-Geotechnical Engineering …, 2018 | 55 | 2018 |
Lessons learnt from bridge collapse: A view of sustainable management JS Tan, K Elbaz, ZF Wang, JS Shen, J Chen Sustainability 12 (3), 1205, 2020 | 54 | 2020 |
Properties of concrete containing strengthened crushed brick aggregate by pozzolan slurry J Yang, WM Shaban, K Elbaz, BS Thomas, J Xie, L Li Construction and Building Materials 247, 118612, 2020 | 49 | 2020 |
Geohazards induced by anthropic activities of geoconstruction: a review of recent failure cases K Elbaz, JS Shen, A Arulrajah, S Horpibulsuk Arabian Journal of Geosciences 9, 1-11, 2016 | 39 | 2016 |
Fuzzy-metaheuristic ensembles for predicting the compressive strength of brick aggregate concrete WM Shaban, J Yang, K Elbaz, J Xie, L Li Resources, Conservation and Recycling 169, 105443, 2021 | 27 | 2021 |
Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines K Elbaz, A Zhou, SL Shen Tunnelling and Underground Space Technology 136, 105104, 2023 | 23 | 2023 |
Water inrush hazards in the Chaoyang Tunnel, Guizhou, China: a preliminary investigation N Zhang, Q Zheng, K Elbaz, YS Xu Water 12 (4), 1083, 2020 | 22 | 2020 |
Spatiotemporal air quality forecasting and health risk assessment over smart city of NEOM K Elbaz, I Hoteit, WM Shaban, SL Shen Chemosphere 313, 137636, 2023 | 21 | 2023 |
A multi-objective optimization algorithm for forecasting the compressive strength of RAC with pozzolanic materials WM Shaban, K Elbaz, J Yang, SL Shen Journal of Cleaner Production 327, 129355, 2021 | 21 | 2021 |
Earthquake effects on civil engineering structures and perspective mitigation solutions: a review M Abbas, K Elbaz, SL Shen, J Chen Arabian Journal of Geosciences 14, 1-17, 2021 | 15 | 2021 |
A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete WM Shaban, K Elbaz, M Amin, AG Ashour Frontiers of Structural and Civil Engineering 16 (3), 329-346, 2022 | 10 | 2022 |
Prediction of residual tensile strength of glass fiber reinforced polymer bars in harsh alkaline concrete environment using fuzzy metaheuristic models M Iqbal, K Elbaz, D Zhang, L Hu, FE Jalal Journal of Ocean Engineering and Science 8 (5), 546-558, 2023 | 8 | 2023 |
Physics-informed deep neural network for modeling the chloride diffusion in concrete WM Shaban, K Elbaz, A Zhou, SL Shen Engineering Applications of Artificial Intelligence 125, 106691, 2023 | 8 | 2023 |