Results 31 to 40 of about 3,400 (257)
Underwater Polarization Imaging Based on Mueller Matrix
Underwater polarization imaging method uses the polarization characteristic difference between the target information light and the backscattered light to achieve clear imaging, which is of great value in the field of underwater target detection and ...
Pingli HAN +4 more
doaj +1 more source
The presence of biotin‐binding avidin proteins in fish and their biological significance are poorly characterized. We cataloged fish avidins and demonstrate that they are widely present and evolutionarily conserved. We created avd knockout zebrafish and show that zebavidin is dispensable for development and that resistance of avd knockout embryos in ...
Anni K. Saralahti +5 more
wiley +1 more source
Deep Learning Methods for Underwater Target Feature Extraction and Recognition [PDF]
The classification and recognition technology of underwater acoustic signal were always an important research content in the field of underwater acoustic signal processing. Currently, wavelet transform, Hilbert-Huang transform, and Mel frequency cepstral coefficients are used as a method of underwater acoustic signal feature extraction.
Gang Hu 0006 +5 more
openaire +2 more sources
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source
Underwater Target Recognition Based on Dynamic Ensemble of Random Forest
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
doaj +1 more source
To solve high-dimensional and small-sample-size classification problem for underwater target recognition, a new feature fusion method is proposed based on multi-kernel sparsity preserve multi-set canonical correlation analysis.
doaj +1 more source
Underwater Acoustic Target Recognition Based on Attention Residual Network
Underwater acoustic target recognition is very complex due to the lack of labeled data sets, the complexity of the marine environment, and the interference of background noise. In order to enhance it, we propose an attention-based residual network recognition method (AResnet).
Juan Li 0009 +4 more
openaire +3 more sources
Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees +6 more
wiley +1 more source
Multi-Scale Frequency-Adaptive-Network-Based Underwater Target Recognition
Due to the complexity of underwater environments, underwater target recognition based on radiated noise has always been challenging. This paper proposes a multi-scale frequency-adaptive network for underwater target recognition.
Lixu Zhuang +3 more
doaj +1 more source
Research on an underwater high-speed vehicle target recognition method based on deep learning [PDF]
As the only high-speed navigation equipment in the ocean, the target recognition performance of the underwater high-speed vehicle determines the final completion effect of the mission.
WU Yajun, LIU Liwen
doaj +1 more source

