hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Machine Learning-based path prediction for emergency vehicles
2018 (English)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2018. , p. 34
Keywords [en]
machine learning, ambulance, travel time prediction, path prediction, LSTM, SVR, GPS
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hh:diva-37216OAI: oai:DiVA.org:hh-37216DiVA, id: diva2:1221964
External cooperation
Cristofer Englund, RISE Viktoria; Mikael Sjögran, SOS Alarm
Subject / course
Computer science and engineering; Computer science and engineering
Educational program
Computer Science and Engineering, 300 credits; Computer Engineer, 180 credits
Supervisors
Examiners
Available from: 2018-06-21 Created: 2018-06-20 Last updated: 2018-06-21Bibliographically approved

Open Access in DiVA

fulltext(4485 kB)7 downloads
File information
File name FULLTEXT02.pdfFile size 4485 kBChecksum SHA-512
82a0cd67923ab4ac6c2411667c0f077269bd2b992cf4b5680deec9452d507f659127755e84fb3fb193c1b1f1bd05f653076ca4e9f11d5282dc9cb591a961d3c0
Type fulltextMimetype application/pdf

Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 7 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 9 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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