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De-noising drift chambers in CLAS12 using convolutional auto encoders

Research article (Computer Physics Communications, 2021) · cited 21× · AI/ML
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De-noising drift chambers in CLAS12 using convolutional auto encoders

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De-noising drift chambers in CLAS12 using convolutional auto encoders is a scholarly article[1].

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  • De-noising drift chambers in CLAS12 using convolutional auto encoders's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). De-noising drift chambers in CLAS12 using convolutional auto encoders. Retrieved May 24, 2026, from https://4ort.xyz/entity/de-noising-drift-chambers-in-clas12-using-convolutional-auto-encoders
MLA “De-noising drift chambers in CLAS12 using convolutional auto encoders.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/de-noising-drift-chambers-in-clas12-using-convolutional-auto-encoders.
BibTeX @misc{4ortxyz_de-noising-drift-chambers-in-clas12-using-convolutional-auto-encoders_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{De-noising drift chambers in CLAS12 using convolutional auto encoders}}, year = {2026}, url = {https://4ort.xyz/entity/de-noising-drift-chambers-in-clas12-using-convolutional-auto-encoders}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): De-noising drift chambers in CLAS12 using convolutional auto encoders — https://4ort.xyz/entity/de-noising-drift-chambers-in-clas12-using-convolutional-auto-encoders (retrieved 2026-05-24)

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