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Semantic segmentation of thermal defects in belt conveyor idlers using thermal image augmentation and U-Net-based convolutional neural networks
Research article (Scientific Reports, 2024) · cited 11× · AI/ML
Semantic segmentation of thermal defects in belt conveyor idlers using thermal image augmentation and U-Net-based convolutional neural networks
Summary
Semantic segmentation of thermal defects in belt conveyor idlers using thermal image augmentation and U-Net-based convolutional neural networks is a scholarly article[1].
Key Facts
Semantic segmentation of thermal defects in belt conveyor idlers using thermal image augmentation and U-Net-based convolutional neural networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Semantic segmentation of thermal defects in belt conveyor idlers using thermal image augmentation and U-Net-based convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/semantic-segmentation-of-thermal-defects-in-belt-conveyor-idlers-using-thermal-image-augmentation-and-u-net-based-convol
MLA“Semantic segmentation of thermal defects in belt conveyor idlers using thermal image augmentation and U-Net-based convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/semantic-segmentation-of-thermal-defects-in-belt-conveyor-idlers-using-thermal-image-augmentation-and-u-net-based-convol.
BibTeX@misc{4ortxyz_semantic-segmentation-of-thermal-defects-in-belt-conveyor-idlers-using-thermal-image-augmentation-and-u-net-based-convol_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Semantic segmentation of thermal defects in belt conveyor idlers using thermal image augmentation and U-Net-based convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/semantic-segmentation-of-thermal-defects-in-belt-conveyor-idlers-using-thermal-image-augmentation-and-u-net-based-convol}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Semantic segmentation of thermal defects in belt conveyor idlers using thermal image augmentation and U-Net-based convolutional neural networks — https://4ort.xyz/entity/semantic-segmentation-of-thermal-defects-in-belt-conveyor-idlers-using-thermal-image-augmentation-and-u-net-based-convol (retrieved 2026-05-24)
