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2024
Mark Data-driven modeling of hydraulic head time series: results and lessons learned from the 2022 groundwater modeling challenge
Collenteur, Raoul ; Haaf, Ezra ; Bakker, Mark ; Liesch, Tanja ; Wunsch, Andreas ; Soonthornrangsan, Jenny ; White, Jeremy ; Martin, Nick ; Hugman, Rui and de Sousa, Ed , et al. (2024) In Hydrology and Earth System Sciences 28(23). p.5193-5208
- Contribution to journal › Article
2023
Mark Moisture prediction of timber for durability applications using data-driven modelling
Hosseini, Seyyed Hasan ^LU ; Niklewski, Jonas ^LU and van Niekerk, Philip Bester (2023) World Conference on Timber Engineering (WCTE 2023) p.3808-3815
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2022
Mark Axial Capacity of FRP-Reinforced Concrete Columns : Computational Intelligence-Based Prognosis for Sustainable Structures
Arora, Harish Chandra ; Kumar, Sourav ; Kontoni, Denise Penelope N. ; Kumar, Aman ; Sharma, Madhu ; Kapoor, Nishant Raj and Kumar, Krishna ^LU (2022) In Buildings 12(12).
- Contribution to journal › Article
2021
Mark Towards a comprehensive optimization of engine efficiency and emissions by coupling artificial neural network (ANN) with genetic algorithm (GA)
Li, Yaopeng ^LU ; Jia, Ming ; Han, Xu and Bai, Xue Song ^LU (2021) In Energy 225.
- Contribution to journal › Article
2013
Mark Seismic human loss estimation for an earthquake disaster using neural network
Aghamohammadi, H. ; Mesgari, M. S. ; Mansourian, A. ^LU and Molaei, D. (2013) In International Journal of Environmental Science and Technology 10(5). p.931-939
- Contribution to journal › Article
2009
Mark Performance predictions of laminar and turbulent heat transfer and fluid flow of heat exchangers having large tube-diameter and large tube-row by artificial neural networks
Xie, Gongnan ^LU ; Sundén, Bengt ^LU ; Wang, Qiuwang and Tang, Linghong (2009) In International Journal of Heat and Mass Transfer 52(11-12). p.2484-2497
- Contribution to journal › Article

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