Results 31 to 40 of about 1,249 (158)
Underwater Acoustic Target Recognition Based on Data Augmentation and Residual CNN [PDF]
, 2023 In the field of underwater acoustic recognition, machine learning methods rely on a large number of datasets to achieve high accuracy, while the actual collected signal samples are often very scarce, which has a great impact on the recognition ...
Yixin Yang, Qihai Yao, Yong Wang
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The Journal of the Acoustical Society of America, 2022 Underwater acoustic target recognition is an intractable task due to the complex acoustic source characteristics and sound propagation patterns. Limited by insufficient data and narrow information perspective, recognition models based on deep learning seem far from satisfactory in practical underwater scenarios. Although underwater acoustic signals are
Yuan Xie, Jiawei Ren 0006, Ji Xu 0004
openaire +3 more sources
Applied Sciences, 2022 As acoustic decoys can simulate the scale of the target through orderly control of the echo delay, simulated acoustic decoys have scale characteristics similar to those of the scaled target.
Zirui Wang +4 more
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Frontiers in Marine Science, 2023 The recognition of underwater acoustic targets plays a crucial role in marine vessel monitoring. However, traditional underwater target recognition models suffer from limitations, including low recognition accuracy and slow prediction speed.
Zhe Chen +6 more
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Underwater acoustic target recognition using attention-based deep neural network [PDF]
JASA Express Letters, 2021 Underwater acoustic target recognition based on ship-radiated noise is difficult owing to the complex marine environment and the interference by multiple targets. As an important technology for target recognition, deep-learning has high accuracy but poor
Xu Xiao +4 more
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Automatic target recognition of surface vessels in passive sonar using emerging technologies of artificial intelligence and deep learning [PDF]
آیندهپژوهی دفاعی, 2023 Objective: Artificial intelligence is a part of computer science that emphasizes the creation of intelligent machines in defense equipment and military equipment.
hassan akbarian +1 more
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Underwater acoustic metamaterials [PDF]
, 2022 Acoustic metamaterials have been widely investigated over the past few decades and have realized acoustic parameters that are not achievable using conventional materials.
Nicholas X Fang +11 more
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Imbalanced Underwater Acoustic Target Recognition with Trigonometric Loss and Attention Mechanism Convolutional Network [PDF]
, 2022 A balanced dataset is generally beneficial to underwater acoustic target recognition. However, the imbalanced class distribution is always meted out in a real scene.
Yanxin Ma +6 more
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Underwater Target Recognition Based on Dynamic Ensemble of Random Forest
水下无人系统学报Accurate recognition of the target is the key to attacking enemy for underwater acoustic homing weapon. A real-time target recognition method for underwater acoustic homing weapon was proposed based on dynamic ensemble selection technology.
Tao CAO +3 more
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Real-Time Underwater Acoustic Homing Weapon Target Recognition Based on a Stacking Technique of Ensemble Learning [PDF]
, 2023 Underwater acoustic homing weapons (UAHWs) are formidable underwater weapons with the capability to detect, identify, and rapidly engage targets. Swift and precise target identification is crucial for the successful engagement of targets via UAHWs.
Liwen Liu +5 more
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