|
|
|
Denis V. Makarov, Pavel S. Petrov and Michael Yu. Uleysky
The problem of sound propagation in a shallow sea with a rough sea bottom is considered. A random matrix approach for studying sound scattering by the water?bottom interface inhomogeneities is developed. This approach is based on the construction of a st...
ver más
|
|
|
|
|
|
Zhu Zhu, Tinggang Zhou, Jinsong Chen, Xiaoli Li, Shanxin Guo, Longlong Zhao and Luyi Sun
Change detection for remote sensing images.
|
|
|
|
|
|
Bowen Xing, Xiao Wang, Liu Yang, Zhenchong Liu and Qingyun Wu
A deep reinforcement learning method to achieve complete coverage path planning for an unmanned surface vehicle (USV) is proposed. This paper firstly models the USV and the workspace required for complete coverage. Then, for the full-coverage path planni...
ver más
|
|
|
|
|
|
Daniel S. Soper
When designed correctly, radial basis function (RBF) neural networks can approximate mathematical functions to any arbitrary degree of precision. Multilayer perceptron (MLP) neural networks are also universal function approximators, but RBF neural networ...
ver más
|
|
|
|
|
|
Simone Castelli and Andrea Belleri
In recent years, structural health monitoring, starting from accelerometric data, is a method which has become widely adopted. Among the available techniques, machine learning is one of the most innovative and promising, supported by the continuously inc...
ver más
|
|
|