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Showing 1 to 2 of 2 for “"bridge maintenance decision making"”.
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Domain-specific adaptation of large language models and integration with knowledge graph analytics for enhanced bridge maintenance decision making
Bridges are critical components of transportation infrastructure, ensuring mobility and economic connectivity. However, a large portion of U.S. bridges are in poor condition, raising significant safety and maintenance challenges. According to the 2025 ASCE Infrastructure Report Card, 42% of U.S. …
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Machine learning-based analytics of structured and unstructured data for enhanced bridge deterioration prediction
The increasing availability of heterogeneous bridge data from multiple sources opens unprecedented opportunities for data analytics to better predict bridge deterioration for supporting enhanced bridge maintenance decision making. Such data include structured National Bridge Inventory (NBI) and …