Litcius/Paper detail

An unsupervised cross‐domain method for bridge damage detection based on multichannel symmetric dot pattern feature alignment

Naiwei Lu, Xiangyuan Xiao, Jian Cui, Yiru Liu, Ke Huang, Ka‐Veng Yuen

2025Computer-Aided Civil and Infrastructure Engineering9 citationsDOI

Topics & Concepts

Robustness (evolution)Computer scienceDiscriminative modelArtificial intelligencePattern recognition (psychology)Convolutional neural networkBridge (graph theory)Benchmark (surveying)Truss bridgeGeneralizationStructural health monitoringFeature extractionUnsupervised learningFeature (linguistics)Artificial neural networkBlock (permutation group theory)Machine learningCluster analysisData miningAccelerationDomain (mathematical analysis)Support vector machineDeep learningNovelty detectionFeature learningStructural Health Monitoring TechniquesInfrastructure Maintenance and MonitoringMachine Fault Diagnosis Techniques
An unsupervised cross‐domain method for bridge damage detection based on multichannel symmetric dot pattern feature alignment | Litcius