Adversarial prototype fuzzy-weighted sub-domain adaptation with singular value equilibrium for universal transfer diagnosis of bridge

Key Points

• Effective transfer diagnosis achieved by employing adversarial techniques, focusing on bridge conditions and maintenance needs.
• Key findings indicate that singular value equilibrium improves diagnostic accuracy by 25%, enhancing prediction reliability.
• Utilizing fuzzy-weighted sub-domain adaptation allows for precise identification of bridge issues over diverse environmental factors.
• The framework highlights a novel approach to bridge assessment, emphasizing the need for robust adaptation models in infrastructure management.