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January 1, 2025International Journal of Security and Networks

Optimization of Underwater Inspection for Offshore Wind Power Facilities Using Multimodal Data Fusion and Deep Networks

Hao Wu Jiakun Wang

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Key Points

The aim is to optimize underwater inspection processes by integrating multimodal data with deep learning techniques.
Utilized multimodal data fusion techniques for comprehensive underwater inspection.
Applied deep learning networks to analyze and interpret the data collected.
Conducted analyses on the effectiveness of various inspection methods in offshore wind power contexts.
Improved accuracy in underwater inspections compared to traditional methods.
Significant reduction in inspection time and resource allocation was observed.

Implication

This research demonstrates enhanced underwater inspection in offshore wind facilities using advanced data fusion techniques.

Abstract

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Cite This Study

Wu et al. (2025) studied this question.

synapsesocial.com/papers/69ada804bc08abd80d5bb38c https://doi.org/10.1504/ijsn.2025.10076825

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