- Robust underwater target recognition using auditory cepstral ...🔍
- Few|shot learning for joint model in underwater acoustic target ...🔍
- A Novel Underwater Acoustic Target Recognition Method Based on ...🔍
- Advancing Robust Underwater Acoustic Target Recognition through ...🔍
- A Survey of Underwater Acoustic Target🔍
- Present status and challenges of underwater acoustic target ...🔍
- Unraveling Complex Data Diversity in Underwater Acoustic Target ...🔍
- Underwater Acoustic Target Recognition Based on Generative ...🔍
Advancing Robust Underwater Acoustic Target Recognition through ...
Robust underwater target recognition using auditory cepstral ...
Feature vector extraction is measured as major step in development of underwater target recognition. To improve robustness of the performance of feature ...
Few-shot learning for joint model in underwater acoustic target ...
... robust deep neural networks in underwater acoustic target recognition. The lack of labeled samples is a common pain point faced by all deep ...
A Novel Underwater Acoustic Target Recognition Method Based on ...
However, the mechanism of radiated noise generated by underwater targets is very complex, and the radiated noise contains multiple components, including ...
Advancing Robust Underwater Acoustic Target Recognition through ...
Iflow is an AI assistant that helps you acquire knowledge efficiently. Whether it is daily entertainment and life encyclopedias or professional academic ...
A Survey of Underwater Acoustic Target - ProQuest
The experimental results show that the combined network of 4-layer Bi-GRU and 4-layer GRU have good recognition accuracy and robustness in an environment with ...
Present status and challenges of underwater acoustic target ...
Underwater target detection and recognition technology evolves in tandem with military requirements, economic development, and the advancement ...
Unraveling Complex Data Diversity in Underwater Acoustic Target ...
... recognition accuracy when compared to existing advanced methods ... Unraveling Complex Data Diversity in Underwater Acoustic Target Recognition through ...
Underwater Acoustic Target Recognition Based on Generative ...
... acoustic samples, so as to generate reliable underwater acoustic signals to expand the training data set. The expanded data set is input into ...
"A self-supervised dual-channel self-attention acoustic encoder for ...
... underwater acoustic target recognition. Author ... recognition accuracy and anti-noise robustness compared with other advanced acoustic learning methods.
Deep convolution stack for waveform in underwater acoustic target ...
... robustness of recognition model. ... Underwater acoustic target recognition using svm ensemble via weighted sample and feature selection.
Advancing underwater acoustic target recognition via adaptive data ...
Underwater acoustic recognition for ship-radiated signals has high practical application value due to the ability to recognize ...
Underwater Acoustic Target Recognition Based on Attention ...
Therefore, using an underwater acoustic target recognition algorithm to identify ship radiated noise becomes particularly important. Thanks to ...
Underwater target recognition methods based on the framework of ...
The accuracy of underwater target recognition by autonomous underwater vehicle (AUV) is a powerful guarantee for underwater detection, rescue, and security.
Advancing robust underwater acoustic target recognition through multitask learning and multi-gate mixture of experts. Y Xie, J Ren, J Li, J Xu. The Journal of ...
Underwater target recognition using a lightweight asymmetric ...
Underwater acoustic target recognition(UATR) is a critical research issue in marine acoustics. Nonetheless, due to the interference from ...
Few-shot learning for joint model in underwater acoustic target ...
... robust deep neural networks, and it is difficult to collect and annotate a large amount of base class data in advance unlike the image recognition field.
Underwater acoustic target recognition using attention-based deep ...
Deep neural network (DNN) technology has promoted advanced pattern recognition; in particular, this method was recently applied to underwater ...
Underwater target detection using hybrid carbon nanotube self ...
However, the underwater environment poses challenges, including limited visibility, dynamic water conditions, and the demand for rugged and ...
Underwater target recognition methods based on the framework of ...
The AUV equipped with sonar detection equipment is used to detect the changes in image texture and image intensity in the area so as to determine the mine.
Underwater Acoustic Target Recognition Using Spectrogram ROI ...
While previous papers have demonstrated the capability of convolutional neural networks. (CNN) for performing Automatic Target Recognition (ATR) with adequate ...