What type of study is this?

This is a Experimental Study study (also classified as: Quantitative Study).

September 12, 2025SensorsOpen Access

Inversion of Shear and Longitudinal Acoustic Wave Propagation Parameters in Sea Ice Using SE-ResNet

View Full Paper

Ask AI

Bookmark

Authors

JBJin Lan BaiXinjiang University YLYi LiuSun Yat-sen University XZXuegang ZhangJiangsu University

Discussion

Member takes

Implication

This research reveals improved shear wave velocity measurements in sea ice, suggesting enhanced predictive capabilities through advanced neural networks.

Key Points

Shear wave and longitudinal wave velocities improved significantly, achieving accuracy gains of 24.87% and 39.59%, respectively.
The developed method involved creating controlled laboratory sea ice, aligning with real-world measurements for important parameters.
An advanced measurement device enabled accurate assessments under polar conditions, crucial for further research on acoustic wave propagation.
Combined with SE-ResNet models, the new approach enhances understanding of the complex microstructural influences of sea ice.

Cite This Study

Bai et al. (2025) studied this question.

synapsesocial.com/papers/68d44b2231b076d99fa542b9 https://doi.org/10.3390/s25185663

View Full Paper

Ask AI

Bookmark

Implication

This research reveals improved shear wave velocity measurements in sea ice, suggesting enhanced predictive capabilities through advanced neural networks.

Inversion of Shear and Longitudinal Acoustic Wave Propagation Parameters in Sea Ice Using SE-ResNet

Discussion

Member takes

Implication

Key Points

Cite This Study

Inversion of Shear and Longitudinal Acoustic Wave Propagation Parameters in Sea Ice Using SE-ResNet

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider