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Automatic Classification of surface ships based on signals from passive underwater sensors
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
2018 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2018. , p. 59
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ltu:diva-69335OAI: oai:DiVA.org:ltu-69335DiVA, id: diva2:1216503
Subject / course
Student thesis, at least 30 credits
Educational program
Engineering Physics and Electrical Engineering, master's level
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Examiners
Available from: 2018-06-21 Created: 2018-06-11 Last updated: 2018-06-21Bibliographically approved

Open Access in DiVA

fulltext(2599 kB)93 downloads
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File name FULLTEXT01.pdfFile size 2599 kBChecksum SHA-512
de495c801c874dd7d90f698c1b4d11fa3ef318372b20a9e55a81a3cce58d2fac83868d6caa10b8b7b004df90ebb0c9553411eee6a56f7da6f0a1d50d94a2aa55
Type fulltextMimetype application/pdf

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Axelsson, Oskar
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf