Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains

Research article (Computers & Geosciences, 2020) · cited 59× · AI/ML
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Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains

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Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-recognition-by-multiple-convolutional-neural-networks-of-modern-fossil-intact-and-damaged-pollen-grains
MLA “Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-recognition-by-multiple-convolutional-neural-networks-of-modern-fossil-intact-and-damaged-pollen-grains.
BibTeX @misc{4ortxyz_automated-recognition-by-multiple-convolutional-neural-networks-of-modern-fossil-intact-and-damaged-pollen-grains_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains}}, year = {2026}, url = {https://4ort.xyz/entity/automated-recognition-by-multiple-convolutional-neural-networks-of-modern-fossil-intact-and-damaged-pollen-grains}, note = {Accessed: 2026-05-24}}
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