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Titlebook: Computational Science – ICCS 2019; 19th International C Jo?o M. F. Rodrigues,Pedro J. S. Cardoso,Peter M.A Conference proceedings 2019 Spri

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31#
發(fā)表于 2025-3-26 21:56:13 | 只看該作者
Shujiro Urata,Kazuo Kuroda,Yoshiko Tonegawaection surveillance service, based on manned and unmanned aerial vehicles. This service aims to provide water utilities with adequate information on leaks in large water distribution infrastructures outside urban areas. Given the high cost associated with water infrastructure networks repairs, a rel
32#
發(fā)表于 2025-3-27 01:42:42 | 只看該作者
Sustainable Development Goals Seriesis follows a Data Assimilation approach i.e. by considering information provided by observed values of a noisy input in a time window. Due to the increased number of states processed from real applications and the time complexity of GP algorithms, the problem mandates a solution in a high performanc
33#
發(fā)表于 2025-3-27 05:27:36 | 只看該作者
Sustainable Development Goals Seriesof multiple physical processes. We aim to address the following problems: (1) estimation of systematic model errors in output quantities of interest at future times and (2) identification of specific physical processes that contribute most to the forecast uncertainty in the quantity of interest unde
34#
發(fā)表于 2025-3-27 09:46:15 | 只看該作者
35#
發(fā)表于 2025-3-27 14:03:38 | 只看該作者
Sustainable Development Goals Seriesinear oscillations are one of the biggest challenges faced in the design of safe and reliable gas turbines and rocket motors?[.]. In the worst-case scenario, uncontrolled thermoacoustic oscillations can shake an engine apart. Reduced-order thermoacoustic models, which are nonlinear and time-delayed,
36#
發(fā)表于 2025-3-27 21:27:58 | 只看該作者
37#
發(fā)表于 2025-3-27 22:13:22 | 只看該作者
Shujiro Urata,Ken-Ichi Akao,Ayu Washizud ESNs are trained to solve supervised learning tasks while ensuring that their predictions do not violate physical laws. This is achieved by introducing an additional loss function during the training of the ESNs, which penalizes non-physical predictions without the need of any additional training
38#
發(fā)表于 2025-3-28 02:07:57 | 只看該作者
39#
發(fā)表于 2025-3-28 09:24:45 | 只看該作者
Sustainable Development Goals SeriesMethods from learning theory are used in the state space of linear dynamical systems in order to estimate the system matrices and some relevant quantities such as a the topological entropy..The approach is illustrated via a series of numerical examples.
40#
發(fā)表于 2025-3-28 13:15:35 | 只看該作者
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