Latest Research in Infrastructure Maintenance and Monitoring

Top Research Topics in Infrastructure Maintenance and Monitoring

• Infrastructure Maintenance and Monitoring — 15 papers
• Advanced Neural Network Applications — 2 papers
• Geophysical Methods and Applications — 2 papers
• Railway Engineering and Dynamics — 2 papers
• Computer Vision and Pattern Recognition — 2 papers
• Asphalt Pavement Performance Evaluation — 1 papers
• Distributed, Parallel, and Cluster Computing — 1 papers
• Building materials and conservation — 1 papers
• Micro and Nano Robotics — 1 papers
• Textile materials and evaluations — 1 papers

Highest-Cited Papers

1. YOLO-Pooling: Exploring the Potential of Pooling Operations in Object Detection
2. A multiclass U-Net segmentation pipeline to identify multiple microstructural features in asphalt material volume: Application to high-RAP mixtures
3. Road Rockfall Detection by Integrating Feature Engineering with YOLO and Cascade Decision Fusion
4. From Pixels to Semantics: Edge AI for UAV-Based Critical Infrastructure Inspection
5. Integrated Digital Mural Quality Assessment Using Deep Visual Features and Fuzzy Analytic Hierarchy Process
6. LSD-DETR: A Lightweight Transformer-Based Detector for Sewer-Pipeline Defects in Forward-Looking Sonar Images
7. HKANet: An efficient software framework for cross-domain road damage detection using hybrid kernel attentionImage 999
8. Detection and Classification of Asphalt Pavement Deterioration Using YOLOv8
9. MCL-YOLO: A Multi-Module Collaborative Lightweight Object Detection Method for Bridge Crack Detection
10. Comparative Evaluation of Deep Learning and Hybrid CNN–Random Forest Models for Multi-Class Defect Identification in Railway Tracks
11. Selective Class-Aware Refinement (SCAR) Method for Microrobot Detection in Ultrasound Images
12. Automatic Assessment of Fabric Soil Release Appearance Using a Lightweight Tri-Semantic Injection Network with Ordinal Learning
13. GSO-Net: Visual State Machines for Hazardous Freight Transfer Compliance at Petrochemical Logistics Nodes
14. TileNet: Tile-Based CNN-SVM Architecture for Autonomous Unmanned Aerial Systems Inspection of Flat Roofs
15. DPR-YOLOv9: Improved Object Detection for Robotic Cable Duct Inspection
16. Damage-driven detection and segmentation network: a deep learning framework for fine-grained post-earthquake damage segmentation in RC double-column piers
17. An Integrated AI Automating Inspection Model for Surface Defect Segmentation and Classification in Construction Domain
18. Spatial Residual Stress Gradient‐Aware Railway Wheel–Axle Crack Classification and Risk Prioritization Using SPIRiT‐LUTanh‐DNN
19. Lightweight Segmentation Model for Real-Time Detection of Multi-Type Façade Defects Using Enhanced YOLOv12
20. Comparative Study of Fusion Strategies for Pavement Distress Detection with Intensity and Range Images