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Multimodal Deep Learning-Based Method for Automatic Generation of Repair Method for Steel Bridge Shallow Damage

https://doi.org/10.2139/ssrn.4804304
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Automated bridge component recognition using close-range images from unmanned aerial vehicles
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Image-driven structural steel damage condition assessment method using deep learning algorithm
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A multi-sensor mapping Bi-LSTM model of bridge monitoring data based on spatial-temporal attention mechanism
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Automatic medical image interpretation: State of the art and future directions
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Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection
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BIM-based mixed-reality application for bridge inspection and maintenance
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Medical Image Captioning Model to Convey More Details: Methodological Comparison of Feature Difference Generation
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A Novel Machine Learning Based Framework for Bridge Condition Analysis
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Postdisaster image-based damage detection and repair cost estimation of reinforced concrete buildings using dual convolutional neural networks
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A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage
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Classification of corrosion and coating damages on bridge constructions from images using convolutional neural networks
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Automatic Caption Generation for Medical Images
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Intelligent Crack Detection and Quantification in the Concrete Bridge: A Deep Learning‐Assisted Image Processing Approach
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Postdisaster Decision Framework for Bridge Repair Prioritization to Improve Road Network Resilience
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Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
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The future of BIM and Bridge Management Systems
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A Novel Decision Support System for Long-Term Management of Bridge Networks
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A Comprehensive Review and Analysis of Nanosensors for Structural Health Monitoring in Bridge Maintenance: Innovations, Challenges, and Future Perspectives
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Image-Based Crack Detection Methods: A Review
inferredcites →https://doi.org/10.3390/rs13020240openalex-extracted
Multi-Image-Feature-Based Hierarchical Concrete Crack Identification Framework Using Optimized SVM Multi-Classifiers and D–S Fusion Algorithm for Bridge Structures
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Structural Monitoring of a Large-Span Arch Bridge Using Customized Sensors
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Computer Vision-Based Bridge Inspection and Monitoring: A Review
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Adam: A Method for Stochastic Optimization
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