Semantic segmentation with a sparse convolutional neural network for event reconstruction in MicroBooNE.
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| Title: | Semantic segmentation with a sparse convolutional neural network for event reconstruction in MicroBooNE. |
|---|---|
| Authors: | Abratenko, P.1 |
| Source: | Physical Review D: Particles, Fields, Gravitation & Cosmology. Mar2021, Vol. 103 Issue 5, p1-1. 1p. |
| Database: | Academic Search Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 149642620 AccessLevel: 2 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=149642620 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1103/PhysRevD.103.052012 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 1 Titles: – TitleFull: Semantic segmentation with a sparse convolutional neural network for event reconstruction in MicroBooNE. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abratenko, P. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 24700010 Numbering: – Type: volume Value: 103 – Type: issue Value: 5 Titles: – TitleFull: Physical Review D: Particles, Fields, Gravitation & Cosmology Type: main |
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