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dc.contributor.authorVlacic, L
dc.date.accessioned2019-09-27T00:31:01Z
dc.date.available2019-09-27T00:31:01Z
dc.date.issued2017
dc.identifier.issn1939-1390
dc.identifier.doi10.1109/MITS.2017.2746405
dc.identifier.urihttp://hdl.handle.net/10072/387813
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.ispartofpagefrom2
dc.relation.ispartofpageto3
dc.relation.ispartofissue4
dc.relation.ispartofjournalIEEE Intelligent Transportation Systems Magazine
dc.relation.ispartofvolume9
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
dc.date.updated2019-09-27T00:29:09Z
gro.hasfulltextNo Full Text
gro.griffith.authorVlacic, Ljubo


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