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References from A Comprehensive Survey on Concrete Crack Detection. Local targets link to admitted publications; unresolved targets remain external evidence.
10.3390/buildings13030765
10.3390/buildings13030765 · External reference
10.1007/s41024-023-00371-6
10.1007/s41024-023-00371-6 · External reference
Recent Advances in Crack Detection Technologies for Structures: A Survey of 2022–2023 Literature
2024 · External reference
Unresolved reference
External reference
Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends
2023 · External reference
10.3390/s23094547
10.3390/s23094547 · External reference
Deep Learning-Based Structural Health Monitoring Through the Infusion of Optical Photos and Vibration Data
2025 · External reference
10.1177/1475921720935585
10.1177/1475921720935585 · External reference
A Review: Research Progress in Bridge Structural Health Monitoring From the Perspective of AI Development
10.1155/stc/8870840 · 2025 · External reference
Concrete Crack Detection Using Ridgelet Neural Network Optimized by Advanced Human Evolutionary Optimization
2025 · External reference
10.3390/s21051688
10.3390/s21051688 · External reference
Detection Crack in Image Using Otsu Method and Multiple Filtering in Image Processing Techniques
2015 · External reference
Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach
10.3390/jimaging10090215 · 2024 · External reference
10.1109/icaci.2012.6463195
10.1109/icaci.2012.6463195 · External reference
Comparative Analysis of Deep Learning Models for Crack Detection in Buildings
2025 · External reference
Comparative Study of CNN-Based Deep Learning Models for Concrete Crack Detection
2025 · External reference
Concrete Surface Crack Detection With Convolutional Neural Networks
2023 · External reference
A Comparative Study on Crack Detection in Concrete Walls Using Transfer Learning Techniques
10.3390/jcs7040169 · 2023 · External reference
10.3390/s22228714
10.3390/s22228714 · External reference
Automated Multi-Class Concrete Crack Detection and Severity Classification Using CNN-Based Deep Learning
10.11648/j.ajce.20251304.12 · 2025 · External reference
Enhance the Concrete Crack Classification Based on a Novel Multi-Stage YOLOv10-ViT Framework
10.3390/s24248095 · 2024 · External reference
10.3390/a15080287
10.3390/a15080287 · External reference
Deep Learning-Based Crack Detection and Prediction for Structural Health Monitoring
2025 · External reference
Crack Detection in Structural Images Using a Hybrid Swin Transformer and Enhanced Features Representation Block
10.3389/frai.2025.1655091 · 2025 · External reference
10.3390/math11102377
10.3390/math11102377 · External reference
10.1016/j.jobe.2023.106688
10.1016/j.jobe.2023.106688 · External reference
10.1145/3708282.3708308
10.1145/3708282.3708308 · External reference
Distress Identification in Concrete Pavement Using Convolution Neural Network
2026 · External reference
A Robust Self-Supervised Approach for Fine-Grained Crack Detection in Concrete Structures
10.1038/s41598-024-63575-x · 2024 · External reference
10.1016/j.autcon.2025.106452
10.1016/j.autcon.2025.106452 · External reference
10.3390/metrology4010005
10.3390/metrology4010005 · External reference
The Lightweight CS-YOLO Model Applied for Concrete Crack Segmentation
2025 · External reference
10.1109/tie.2019.2945265
10.1109/tie.2019.2945265 · External reference
10.1038/s41598-024-54835-x
10.1038/s41598-024-54835-x · External reference
Unresolved reference
2025 · External reference
10.1016/j.autcon.2021.103764
10.1016/j.autcon.2021.103764 · External reference
Segment Anything Model-Based Crack Segmentation Using Low-Rank Adaptation fine-tuning
10.1177/14759217241261089 · 2025 · External reference
10.1061/jccee5.cpeng-7090
10.1061/jccee5.cpeng-7090 · External reference
3D Modeling and Automated Measurement of Concrete Cracks via Segment Anything Refinement and Visual Inertial LiDAR Fusion
2026 · External reference
Crack-EdgeSAM: Self-Prompting Crack Segmentation System for Edge Devices
2024 · External reference
A Literature Review: Generative Adversarial Networks for Civil Structural Health Monitoring
2022 · External reference
Multi-Stage Generative Adversarial Networks for Generating Pavement Crack Images
2024 · External reference
Multiclass Damage Detection in Concrete Structures Using a Transfer Learning-based Generative Adversarial Network
2022 · External reference
Efficient Crack and Surface-Type Recognition via CNN-Block Development Mechanism and Edge Profiling
10.1038/s41598-025-25956-8 · 2025 · External reference
Explainable Artificial Intelligence (XAI)-Driven Probabilistic Image-Based Structural Health Monitoring of Reinforced Concrete Beams With Shear Reinforcements
10.1016/j.autcon.2025.106549 · 2025 · External reference
10.1002/aisy.202400304
10.1002/aisy.202400304 · External reference
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
10.1002/aisy.202400304 · 2025 · External reference
A Comparative Evaluation of Explainability Techniques for Image Data
10.1038/s41598-025-25839-y · 2025 · External reference
Unresolved reference
2025 · External reference
10.1016/j.eng.2025.02.018
10.1016/j.eng.2025.02.018 · External reference
Crack Segmentation and Quantification in Concrete Structures Using a Lightweight YOLO Model Based on Pruning and Knowledge Distillation
2025 · External reference
10.1016/j.conbuildmat.2023.130709
10.1016/j.conbuildmat.2023.130709 · External reference
Current Status and Prospects of Digital Twin Approaches in Structural Health Monitoring
2025 · External reference
Review of Digital Twin in Structural Dynamics to Improve Condition Monitoring
10.1155/stc/2777297 · 2026 · External reference
10.1016/j.autcon.2022.104600
10.1016/j.autcon.2022.104600 · External reference
Vision-Guided Crack Identification and Size Quantification Framework for Dam Underwater Concrete Structures
10.3390/books978-3-7258-3706-9 · 2025 · External reference
