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Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types
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.
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
- —
- Keywords
- Convolutional neural networkComputer scienceArtificial intelligenceVisual inspectionRobustness (evolution)PixelPattern recognition (psychology)Computer visionDeep learning
- Has abstract in OpenAlex
- no