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Binghang Lu, Christian Moya and Guang Lin
This paper presents NSGA-PINN, a multi-objective optimization framework for the effective training of physics-informed neural networks (PINNs). The proposed framework uses the non-dominated sorting genetic algorithm (NSGA-II) to enable traditional stocha...
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Victor Shutyaev, Vladimir Zalesny, Valeriy Agoshkov, Eugene Parmuzin and Natalia Zakharova
The use of Four-Dimensional variational (4D-Var) data assimilation technology in the context of sea dynamics problems, with a sensitivity analysis of model results to observation errors, is presented. The technology is applied to a numerical model of oce...
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Nur Hamid, Willy Dharmawan and Hidetaka Nambo
Unmanned surface vehicles (USVs) are experiencing significant development across various fields due to extensive research, enabling these devices to offer substantial benefits. One kind of research that has been developed to produce better USVs is path p...
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Jaime Ruiz-Serra and Michael S. Harré
Theory of mind (ToM) is the psychological construct by which we model another?s internal mental states. Through ToM, we adjust our own behaviour to best suit a social context, and therefore it is essential to our everyday interactions with others. In ado...
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Konstantinos V. Kostas and Maria Manousaridou
In this work, supervised Machine Learning (ML) techniques were employed to solve the forward and inverse problems of airfoil and hydrofoil design. The forward problem pertains to the prediction of a foil?s aerodynamic or hydrodynamic performance given it...
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