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Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Computer-Aided Civil and Infrastructure Engineering
- Topic
- Infrastructure Maintenance and Monitoring
- Field
- Engineering
- Canadian institutions
- University of Manitoba
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Keywords
- Convolutional neural networkSobel operatorComputer scienceArtificial intelligenceRobustness (evolution)PixelComputer visionCanny edge detectorShadow (psychology)Deep learningPattern recognition (psychology)AdaptabilityImage (mathematics)Edge detectionImage processing
- Has abstract in OpenAlex
- no