Litcius/Paper detail

Automatic crack distress classification from concrete surface images using a novel deep-width network architecture

Li Guo, Runze Li, Bin Jiang, Xing Shen

2020Neurocomputing44 citationsDOI

Topics & Concepts

AutoencoderComputer scienceSurface (topology)Convolutional neural networkFeature (linguistics)Convolution (computer science)Artificial neural networkProcess (computing)CrackingArtificial intelligenceNoise (video)Pattern recognition (psychology)Binary numberBinary classificationStructural engineeringImage (mathematics)Materials scienceEngineeringMathematicsGeometrySupport vector machineOperating systemPhilosophyLinguisticsArithmeticComposite materialInfrastructure Maintenance and MonitoringConcrete Corrosion and DurabilityStructural Health Monitoring Techniques
Automatic crack distress classification from concrete surface images using a novel deep-width network architecture | Litcius