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Weihan Huang, Ke Gao and Yu Feng
Predicting earthquakes through reasonable methods can significantly reduce the damage caused by secondary disasters such as tsunamis. Recently, machine learning (ML) approaches have been employed to predict laboratory earthquakes using stick-slip dynamic...
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Damian Valdés-Santiago, Angela M. León-Mecías, Marta Lourdes Baguer Díaz-Romañach, Antoni Jaume-i-Capó, Manuel González-Hidalgo and Jose Maria Buades Rubio
This contribution presents a wavelet-based algorithm to detect patterns in images. A two-dimensional extension of the DST-II is introduced to construct adapted wavelets using the equation of the tensor product corresponding to the diagonal coefficients i...
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Guoxu Niu, Yaoyong Chen, Jiao Lv, Jing Zhang and Ning Fan
A two-dimensional viscous numerical wave tank coded mass source function in a computational fluid dynamics (CFD) software Flow-3D 11.2 is built and validated. The effect of the core influencing factors (draft, breakwater width, wave period, and wave heig...
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Shauna Creane, Michael O?Shea, Mark Coughlan and Jimmy Murphy
Offshore anthropogenic activities such as the installation of Offshore Renewable Energy (ORE) developments and sediment extraction for marine aggregates have been shown to disrupt current flow, wave propagation, and sediment transport pathways, leading t...
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Weiqiang Huang, Chunguang Wang, Kaining Zhang, Zhihong Wang and Weiping Tian
As a key component of the solid rocket motor, nozzle ablation is very important to the performance of the motor. In order to study the influence of the law of nozzle ablation on motor performance, a two-dimensional axisymmetric model of a ground state no...
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