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An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions.

, , , and . CoRR, (2022)

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Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition., , and . J. Comput. Phys., (2020)Special Issue: Civil-Comp., , , , , , , , , and 2 other author(s). Adv. Eng. Softw., (2015)Multi-objective optimal design of inerter-based vibration absorbers for earthquake protection of multi-storey building structures., , and . J. Frankl. Inst., 356 (14): 7754-7784 (2019)An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions., , , and . Neural Comput. Appl., 35 (26): 18971-18987 (September 2023)Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations., , and . CoRR, (2021)Simulation-Based Optimization in Design-Under-Uncertainty Problems Through Iterative Development of Metamodels in Augmented Design/Random Variable Space., and . SIMULTECH (Selected Papers), volume 402 of Advances in Intelligent Systems and Computing, page 251-273. Springer, (2014)Non-parametric stochastic subset optimization utilizing multivariate boundary kernels and adaptive stochastic sampling., and . Adv. Eng. Softw., (2015)Stochastic subset optimization incorporating moving least squares response surface methodologies for stochastic sampling.. Adv. Eng. Softw., 44 (1): 3-14 (2012)Probabilistically-robust performance optimization for controlled linear stochastic systems., and . ACC, page 4557-4562. IEEE, (2009)Adaptive kriging for simulation-based design under uncertainty development of metamodels in augmeted input space and adaptive tuning of their characteristics., and . SIMULTECH, page 785-797. IEEE, (2014)