https://www.mdu.se/

mdu.sePublications
Change search
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
Roadmaps for AI Integration in the Rail Sector - RAILS
Malardalen Univ, Vasteras, Sweden.;Linnaeus Univ, Vaxjo, Sweden..ORCID iD: 0000-0002-2833-7196
CINI, Naples, Italy.;Univ Naples Federico II, Naples, Italy..
Univ Leeds, Leeds, W Yorkshire, England..
2020 (English)In: ERCIM News, ISSN 0926-4981, E-ISSN 1564-0094, no 121, p. 34-35Article in journal (Refereed) Published
Abstract [en]

The European RAILS research project is investigating the potential applications of artificial intelligence (AI) within the rail sector, and helping define roadmaps for future research in next generation signalling systems, operational intelligence, and network management.

Place, publisher, year, edition, pages
EUROPEAN RESEARCH CONSORTIUM INFORMATICS & MATHEMATICS , 2020. no 121, p. 34-35
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:mdh:diva-47849ISI: 000526180300020OAI: oai:DiVA.org:mdh-47849DiVA, id: diva2:1427579
Available from: 2020-04-30 Created: 2020-04-30 Last updated: 2020-04-30Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Flammini, Francesco

Search in DiVA

By author/editor
Flammini, Francesco
In the same journal
ERCIM News
Other Engineering and Technologies

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 228 hits
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