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Deep Learning with Fully Convolutional and Dense Connection Framework for Ground Roll Attenuation

Research article (Surveys in Geophysics, 2023) · cited 12× · AI/ML
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Deep Learning with Fully Convolutional and Dense Connection Framework for Ground Roll Attenuation

Summary

Deep Learning with Fully Convolutional and Dense Connection Framework for Ground Roll Attenuation is a scholarly article[1].

Key Facts

  • Deep Learning with Fully Convolutional and Dense Connection Framework for Ground Roll Attenuation's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep Learning with Fully Convolutional and Dense Connection Framework for Ground Roll Attenuation. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-with-fully-convolutional-and-dense-connection-framework-for-ground-roll-attenuation
MLA “Deep Learning with Fully Convolutional and Dense Connection Framework for Ground Roll Attenuation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-with-fully-convolutional-and-dense-connection-framework-for-ground-roll-attenuation.
BibTeX @misc{4ortxyz_deep-learning-with-fully-convolutional-and-dense-connection-framework-for-ground-roll-attenuation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning with Fully Convolutional and Dense Connection Framework for Ground Roll Attenuation}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-with-fully-convolutional-and-dense-connection-framework-for-ground-roll-attenuation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning with Fully Convolutional and Dense Connection Framework for Ground Roll Attenuation — https://4ort.xyz/entity/deep-learning-with-fully-convolutional-and-dense-connection-framework-for-ground-roll-attenuation (retrieved 2026-05-24)

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