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Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | DONG SEONG KIM | - |
| dc.date.available | 2021-03-09T08:40:10Z | - |
| dc.date.created | 2021-03-09 | - |
| dc.date.issued | 2020-08 | - |
| dc.identifier.issn | 1545-598X | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/18994 | - |
| dc.publisher | Institute of Electrical and Electronics Engineers | - |
| dc.title | Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network | - |
| dc.title.alternative | Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | DONG SEONG KIM | - |
| dc.identifier.bibliographicCitation | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v.-, no.-, pp.1 - 5 | - |
| dc.relation.isPartOf | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | - |
| dc.citation.title | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | - |
| dc.citation.volume | - | - |
| dc.citation.number | - | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 5 | - |
| dc.type.rims | ART | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
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Related Researcher
- KIM, DONG SEONG
- College of Engineering (School of Electronic Engineering)