Autonomous concrete crack detection using deep fully convolutional neural network

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Semantic Segmentation of Cracks on Masonry Surfaces Using Deep-Learning Techniques

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Concrete Crack Measurement System Using Improved U-Net Convolutional Networks and Canny Edge Detection Method Combined with Laser Rangefinder and CameraPreprint

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Semantic Segmentation Network for Surface Defect Detection of Automobile Wheel Hub Fusing High-Resolution Feature and Multi-Scale Feature

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Automated Bridge Crack Detection Based on Improving Encoder–Decoder Network and Strip Pooling

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An Universal Crack Detection Framework for Intelligent Road-Perceptive Vehicles

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When Transfer Learning Meets Dictionary Learning: A New Hybrid Method for Fast and Automatic Detection of Cracks on Concrete Surfaces

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A digital twin approach based method in civil engineering for classification of salt damage in building evaluation

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The State of the Art and Potentialities of UAV-Based 3D Measurement Solutions in the Monitoring and Fault Diagnosis of Quasi-Brittle Structures

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FMANet: Fused mamba attention model with multi-type preprocessing for simulated crack-contaminated complex environments

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Deployable Deep Learning Models for Crack Detection: Efficiency, Interpretability, and Severity Estimation

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Ground Crack Recognition Based on Fully Convolutional Network With Multi-Scale Input

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Image-Based Concrete Crack Detection Using Random Forest and Convolution Neural Network

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A New Approach to Automatically Calibrate and Detect Building Cracks

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Siamese Convolutional Neural Networks to Quantify Crack Pattern Similarity in Masonry Facades

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Exposed Aggregate Detection of Stilling Basin Slabs Using Attention U-Net Network

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A State-of-the-Art Survey of Transfer Learning in Structural Health Monitoring

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Cultivating road safety: A comprehensive examination of intelligent ensemble-based road crack detection

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A Comprehensive Survey on Visual Perception Methods for Intelligent Inspection of High Dam Hubs

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Unsupervised PG-DDPM-augmented mixed dataset for training an accurate concrete bridge crack detection model under small samples

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Efficient crack segmentation with multi-decoder networks and enhanced feature fusion

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Cascaded deep learning framework for pavement crack detection, segmentation, and location-aware feature extraction

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A multi-module deep learning framework with graph-based network and crack attention for tunnel lining crack segmentation from LiDAR point cloud

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RCNN-GAN: An Enhanced Deep Learning Approach Towards Detection of Road Cracks

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Encoding 3D Point Contexts for Self-Supervised Spall Classification Using 3D Bridge Point Clouds

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Surface Crack Detection using Deep Convolutional Neural Network in Concrete Structures

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Pixel Intensity Resemblance Measurement and Deep Learning Based Computer Vision Model for Crack Detection and Analysis

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A Novel Robotic-Vision-Based Defect Inspection System for Bracket Weldments in a Cloud–Edge Coordination Environment

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Dynamic Thresholding for Accurate Crack Segmentation Using Multi-objective Optimization

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An Artificial Intelligence-Based Method for Crack Detection in Engineering Facilities around Subways

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A Novel SCD11 CNN Model Performance Evaluation with Inception V3, VGG16 and ResNet50 Using Surface Crack Dataset

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Applications of Deep Learning in Intelligent Construction

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Efficient Pavement Crack Area Classification Using Gaussian Mixture Model Based Features

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A Novel Approach to Discriminate Between Structural and Non‐Structural Post‐Earthquake Damage in RC Structures

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Enhanced ResNet50 deep learning algorithm for classification of crack images in RCC structures

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Controllable flow matching synthesis for generalizable crack segmentation with a 50k image–mask benchmark

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A frame work for concrete crack monitoring using surface wave transmission method

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Deep Learning-Based Subsurface Damage Localization Using Full-Field Surface Strains

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Automated evaluation of degradation in stone heritage structures utilizing deep vision in synthetic and real-time environments

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Boundary-Aware Axial Attention Network for High-Quality Pavement Crack Detection

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Deep Segmenter system for recognition of micro cracks in solar cell

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TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation

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Unsupervised defect inspection algorithm based on cascaded GAN with edge repair feature fusion

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Gating attention convolutional networks with dense connection for pixel-level crack detection

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Multi-CrackNet: A Fast Segmentation and Quantification Combined Method for Rock Discontinuity Traces by Capturing an Image

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A comparison between computer vision- and deep learning-based models for automated concrete crack detection

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Determination of the Real Cracking Moment of Two Reinforced Concrete Beams through the Use of Embedded Fiber Optic Sensors

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State of the Art and a New Methodology Based on Multi-agent Fuzzy System for Concrete Crack Detection and Type Classification

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Concrete Surface Crack Segmentation Based on Deep Learning

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A high‐frequency feature enhancement network for the surface defect detection of welded rebar

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PointCrack3D: Crack Detection in Unstructured Environments using a 3D-Point-Cloud-Based Deep Neural NetworkPreprint

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Radar-absorbing materials damage detection through microwave images using one-stage object detectors

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Automated analysis system for micro-defects in 3D printed concrete

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Enhanced detection and prediction of concrete filling defects with deep learning

Yang, Y., Yin, Y., & Zhou, J. (2025) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2025.141180 · Cited by 7

An effective approach to improving photovoltaic defect detection using the new DCD-YOLOv8s model

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Combination Ensemble and Explainable Deep Learning Framework for High-Accuracy Classification of Wild Edible Macrofungi

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Self-supervised multi-scale transformer with Attention-Guided Fusion for efficient crack detection

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A data-driven approach for rapid seismic risk prediction of RC buildings

Yilmaz, M., & Dirikgil, T. (2026) · Bulletin of Earthquake Engineering · doi:10.1007/s10518-026-02384-1 · Cited by 7

İnşaat Mühendisliğinde Derin Öğrenme Algoritmalarının Değerlendirilmesi ve Uygulanması

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An apposite transfer-learned DCNN model for prediction of structural surface cracks under optimal threshold for class-imbalanced data

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Crack detection and crack segmentation in concrete beams undergoing mode I fracture using computer vision and convolutional neural network

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Insight into the Behavior of Mortars Containing Glass Powder: An Artificial Neural Network Analysis Approach to Classify the Hydration Modes

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Quantifying the sequential fine cracks of strain-hardening cementitious composites (SHCC): An automatic approach for temporal and spatial assessment

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Concrete crack segmentation based on multi-dimensional structure information fusion-based network

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Gradient and self-attention enabled convolutional neural network for crack detection in smart cities

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Harnessing Deep Learning Techniques for Enhanced Detection and Classification of Cracks in Pavement Imagery

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Towards Geometric Digital Twins, Including Damage Detection, from Photos of Residential Buildings Facades

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A Novel Technique for High-Efficiency Characterization of Complex Cracks with Visual Artifacts

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Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach

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Research on detection method of pavement diseases based on Unmanned Aerial Vehicle (UAV)

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MA-Xnet: Mobile-Attention X-Network for Crack Detection

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