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Bridge Deterioration Knowledge Ontology for Supporting Bridge Document Analytics
Publisher: ASCE
Abstract: Bridge owners possess important data sources, such as bridge construction records and inspection and maintenance reports, which hold great promise for improving understanding of bridge deterioration and informing maintenance ...
Semantic Neural Network Ensemble for Automated Dependency Relation Extraction from Bridge Inspection Reports
Publisher: ASCE
Abstract: Bridge inspection reports are important sources of technically detailed data/information about bridge conditions and maintenance history, yet remain untapped for bridge deterioration prediction. To capitalize on these ...
Deep Learning–Based Analytics of Multisource Heterogeneous Bridge Data for Enhanced Data-Driven Bridge Deterioration Prediction
Publisher: ASCE
Abstract: Existing data-driven bridge deterioration prediction methods mostly learn from abstract inventory data from a single source to predict the future conditions of bridges. Bridge inventory data [e.g., the National Bridge ...
Crowdsourcing Construction Activity Analysis from Jobsite Video Streams
Publisher: American Society of Civil Engineers
Abstract: The advent of affordable jobsite cameras is reshaping the way on-site construction activities are monitored. To facilitate the analysis of large collections of videos, research has focused on addressing the problem of ...
Fusing Data Extracted from Bridge Inspection Reports for Enhanced Data-Driven Bridge Deterioration Prediction: A Hybrid Data Fusion Method
Publisher: ASCE
Abstract: Data buried in textual bridge inspection reports offer great promise for enhanced data-driven bridge deterioration prediction. However, learning from these reports is challenging because they typically use multiple concept ...