Sound-based multiple-equipment activity recognition using convolutional neural networks
Automatically recognizing activities of heavy construction equipment using sound data has recently received considerable attention as a promising research area in construction. Although existing methods are effective, they only focus on tracking the activities of one single piece of equipment. On co...
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Veröffentlicht in: | Automation in construction 2022-03, Vol.135, p.104104, Article 104104 |
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