Identifying and extracting bark key features of 42 tree species using convolutional neural networks and class activation mapping

Research article (Scientific Reports, 2022) · cited 32× · AI/ML
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Identifying and extracting bark key features of 42 tree species using convolutional neural networks and class activation mapping

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Identifying and extracting bark key features of 42 tree species using convolutional neural networks and class activation mapping is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Identifying and extracting bark key features of 42 tree species using convolutional neural networks and class activation mapping. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-and-extracting-bark-key-features-of-42-tree-species-using-convolutional-neural-networks-and-class-activation
MLA “Identifying and extracting bark key features of 42 tree species using convolutional neural networks and class activation mapping.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-and-extracting-bark-key-features-of-42-tree-species-using-convolutional-neural-networks-and-class-activation.
BibTeX @misc{4ortxyz_identifying-and-extracting-bark-key-features-of-42-tree-species-using-convolutional-neural-networks-and-class-activation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying and extracting bark key features of 42 tree species using convolutional neural networks and class activation mapping}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-and-extracting-bark-key-features-of-42-tree-species-using-convolutional-neural-networks-and-class-activation}, note = {Accessed: 2026-05-24}}
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