Concrete Bridge Defects Identification and Localization Based on Classification Deep Convolutional Neural Networks and Transfer Learning

Crack detection of concrete structures using deep convolutional neural networks optimized by enhanced chicken swarm algorithm

(2022) Yang Yu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A Novel Remote Visual Inspection System for Bridge Predictive Maintenance

(2022) Alessandro Galdelli et al.   Remote Sensing

Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels Using Localization With a Classifier and Thresholding

(2022) Jacob Konig et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Surface crack detection using deep learning with shallow CNN architecture for enhanced computation

(2021) Bubryur Kim et al.   NEURAL COMPUTING & APPLICATIONS

Simultaneous pixel-level concrete defect detection and grouping using a fully convolutional model

(2021) Chaobo Zhang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring

(2021) Patryk Kot et al.   Applied Sciences-Basel

Damage detection using in-domain and cross-domain transfer learning

(2021) Zaharah A. Bukhsh et al.   NEURAL COMPUTING & APPLICATIONS

Comprehensive Study of Moving Load Identification on Bridge Structures Using the Explicit Form of Newmark-β Method: Numerical and Experimental Studies

(2021) Solmaz Pourzeynali et al.   Remote Sensing

Bridge Crack Semantic Segmentation Based on Improved Deeplabv3+

(2021) Huixuan Fu et al.   Journal of Marine Science and Engineering

Deep convolutional neural networks for semantic segmentation of cracks

(2021) Jia‐Ji Wang et al.   Structural Control & Health Monitoring

Weakly supervised network based intelligent identification of cracks in asphalt concrete bridge deck

(2020) Jinsong Zhu et al.   Alexandria Engineering Journal

Deep convolution neural network-based transfer learning method for civil infrastructure crack detection

(2020) Qiaoning Yang et al.   AUTOMATION IN CONSTRUCTION

Probabilistic Life Prediction for Reinforced Concrete Structures Subjected to Seasonal Corrosion-Fatigue Damage

(2020) Yafei Ma et al.   JOURNAL OF STRUCTURAL ENGINEERING

Patch-based weakly supervised semantic segmentation network for crack detection

(2020) Zhiming Dong et al.   CONSTRUCTION AND BUILDING MATERIALS

Machine Learning for Crack Detection: Review and Model Performance Comparison

(2020) Yung-An Hsieh et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Concrete Cracks Detection Using Convolutional NeuralNetwork Based on Transfer Learning

(2020) Chao Su et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

UAV Photogrammetry for Concrete Bridge Inspection Using Object-Based Image Analysis (OBIA)

(2020) Sara Zollini et al.   Remote Sensing

A systematic review of convolutional neural network-based structural condition assessment techniques

(2020) Sandeep Sony et al.   ENGINEERING STRUCTURES

A Comprehensive Survey on Transfer Learning

(2020) Fuzhen Zhuang et al.   PROCEEDINGS OF THE IEEE

Concrete cracking prediction under combined prestress and strand corrosion

(2019) Lei Wang et al.   Structure and Infrastructure Engineering

Multi-classifier for reinforced concrete bridge defects

(2019) Philipp Hüthwohl et al.   AUTOMATION IN CONSTRUCTION

Vision-based defects detection for bridges using transfer learning and convolutional neural networks

(2019) Jinsong Zhu et al.   Structure and Infrastructure Engineering

A survey of semi- and weakly supervised semantic segmentation of images

(2019) Man Zhang et al.   ARTIFICIAL INTELLIGENCE REVIEW

Integrated condition rating and forecasting method for bridge decks using Visual Inspection and Ground Penetrating Radar

(2018) Mohammed Alsharqawi et al.   AUTOMATION IN CONSTRUCTION

Drone-enabled bridge inspection methodology and application

(2018) Junwon Seo et al.   AUTOMATION IN CONSTRUCTION

Deep Transfer Learning for Image-Based Structural Damage Recognition

(2018) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

(2018) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Automated Crack Detection on Concrete Bridges

(2016) Prateek Prasanna et al.   IEEE Transactions on Automation Science and Engineering

Detection crack in image using Otsu method and multiple filtering in image processing techniques

(2016) Ahmed Mahgoub Ahmed Talab et al.   OPTIK