Results 21 to 30 of about 3,400 (257)

Underwater Accompanying Robot Based on SSDLite Gesture Recognition

Applied Sciences, 2022
Underwater robots are often used in marine exploration and development to assist divers in underwater tasks. However, the underwater robots on the market have some problems, such as only a single function of object detection or tracking, the use of ...
Tingzhuang Liu, Yi Zhu, Kefei Wu, Fei Yuan   +3 more
doaj   +1 more source

A Deep Learning Model Applied to Optical Image Target Detection and Recognition for the Identification of Underwater Biostructures

Machines, 2022
Objective: We propose a deep-learning-based underwater target detection system that can effectively solve the problem of underwater optical image target detection and recognition. Methods: In this paper, based on the depth of the underwater optical image
Huilin Ge, Yuewei Dai, Zhiyu Zhu, Runbang Liu   +3 more
doaj   +1 more source

Underwater Target Noise Recognition and Classification Technology based on Multi-Classes Feature Fusion

Xibei Gongye Daxue Xuebao, 2020
As one of the main signal sources of underwater acoustic target recognition, the target noise signal is difficult to characterize the characteristics of the target from clearly comparing with the multi-sensor detection technology, which may lead to lower

doaj   +1 more source

Underwater Image Classification Algorithm Based on Convolutional Neural Network and Optimized Extreme Learning Machine

Journal of Marine Science and Engineering, 2022
In order to deal with the target recognition in the complex underwater environment, we carried out experimental research. This includes filtering noise in the feature extraction stage of underwater images rich in noise, or with complex backgrounds, and ...
Junyi Yang, Mudan Cai, Xingfan Yang, Zhiyu Zhou   +3 more
doaj   +1 more source

Study on Small Samples Active Sonar Target Recognition Based on Deep Learning

Journal of Marine Science and Engineering, 2022
Underwater target classification methods based on deep learning suffer from obvious model overfitting and low recognition accuracy in the case of small samples and complex underwater environments.
Yule Chen, Hong Liang, Shuo Pang
doaj   +1 more source

Kernel Two-Dimensional Nonnegative Matrix Factorization: A New Method to Target Detection for UUV Vision System

Complexity, 2020
This paper studies an advanced intelligent recognition method of underwater target based on unmanned underwater vehicle (UUV) vision system. This method is called kernel two-dimensional nonnegative matrix factorization (K2DNMF) which can further improve ...
Jian Xu, Pengfei Bi, Xue Du, Juan Li, Tianhao Jiang   +4 more
doaj   +1 more source

Guiding the underwater acoustic target recognition with interpretable contrastive learning

OCEANS 2023 - Limerick, 2023
Recognizing underwater targets from acoustic signals is a challenging task owing to the intricate ocean environments and variable underwater channels. While deep learning-based systems have become the mainstream approach for underwater acoustic target recognition, they have faced criticism for their lack of interpretability and weak generalization ...
Yuan Xie, Jiawei Ren 0006, Ji Xu 0004
openaire   +2 more sources

VFR: The Underwater Acoustic Target Recognition Using Cross-Domain Pre-Training with FBank Fusion Features

Journal of Marine Science and Engineering, 2023
Underwater acoustic target recognition is a hot research area in acoustic signal processing. With the development of deep learning, feature extraction and neural network computation have become two major steps of recognition. Due to the complexity of the
Ji Wu, Peng Li, Yongxian Wang, Qiang Lan, Wenbin Xiao, Zhenghua Wang   +5 more
doaj   +1 more source

Protocol for quantifying miRNA trafficking across the endosomal membrane

FEBS Open Bio, EarlyView.
An in vitro protocol measures miRNA uptake into endosomes isolated from mammalian cell extracts, which are free of subcellular contaminants. Performed at 37 °C in the presence of ATP, it ensures the import of single‐stranded miRNA into the endosomal lumen.
Syamantak Ghosh, Kamalika Mukherjee, Suvendra N. Bhattacharyya   +2 more
wiley   +1 more source

Underwater Targets Radiated Noise Classification Based on Enhanced Images and Convolutional Neural Networks

IEEE Access
As the economy and society continue to develop, the types of underwater targets are becoming increasingly diverse, accompanied by a corresponding increase in environmental noise.
Lei Zhufeng, Luo Jiachao, Qin Qiwei, Lei Xiaofang, Zhou Chuanghui, Zhang Qian   +5 more
doaj   +1 more source