Show simple item record

dc.contributor.authorVlacic, L
dc.description.abstractIn being committed to bringing excellence in ITS to our readership, we decided to extend the current content of the Magazine. Thus, this edition includes a new section on “Artificial Intelligence Technologies for ITS” which is aimed at attracting short (up to 4-pages) manuscript submissions on either recently developed or recently implemented AI & Machine Learning methods, especially big data analysis, cloud computing, crowdsourcing, deep learning, virtual reality, augmented reality, virtual sensing, augmented sensing, artificial cognition, knowledge automation, IoT, etc., in transportation systems & services. I have therefore asked our distinguished colleague, Fei-Yue Wang of the Chinese Academy of Sciences and the Chinese National University of Defense Technology, who is also the Immediate Past EiC of the Society’s flagship periodical, Transactions on ITS, to share his enthusiasm and keen research interest into the AI field, in the context of ITS, and encourage you all to consider submitting your contributions to this new, peer-reviewed, section of the Magazine.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofjournalIEEE Intelligent Transportation Systems Magazine
dc.titleNew features
dc.typeJournal article
dc.type.descriptionC3 - Articles (Letter/ Note)
dcterms.bibliographicCitationVlacic, L, New features, IEEE Intelligent Transportation Systems Magazine, 2017, 9 (4), pp. 2-3
gro.hasfulltextNo Full Text
gro.griffith.authorVlacic, Ljubo

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record