Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/61857
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, Haoxi | en |
dc.contributor.author | Li, Fei | en |
dc.contributor.author | Wang, Juan | en |
dc.contributor.author | Wang, Zuli | en |
dc.contributor.author | Shi, Lei | en |
dc.contributor.author | Zhao, Jun | en |
dc.contributor.author | Sanin, Cesar | en |
dc.contributor.author | Szczerbicki, Edward | en |
dc.date.accessioned | 2024-07-29T06:49:00Z | - |
dc.date.available | 2024-07-29T06:49:00Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Cybernetics and Systems, 48(3), p. 267-273 | en |
dc.identifier.issn | 1087-6553 | en |
dc.identifier.issn | 0196-9722 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/61857 | - |
dc.description.abstract | <p>In this paper, we propose a Neural Knowledge DNA (NK-DNA)-based framework that is capable of learning from the car’s daily operations and reusing such learned knowledge in future tasks. The NK-DNA is a novel knowledge representation and reasoning approach designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing devices. We examine our framework for drivers’ classification based on their driving behaviors. The experimental data are collected via smartphone sensors. The initial results are presented, and the direction for our future research is defined.</p> | en |
dc.language | en | en |
dc.publisher | Taylor & Francis Inc | en |
dc.relation.ispartof | Cybernetics and Systems | en |
dc.title | Adding Intelligence to Cars Using the Neural Knowledge DNA | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1080/01969722.2016.1276780 | en |
local.contributor.firstname | Haoxi | en |
local.contributor.firstname | Fei | en |
local.contributor.firstname | Juan | en |
local.contributor.firstname | Zuli | en |
local.contributor.firstname | Lei | en |
local.contributor.firstname | Jun | en |
local.contributor.firstname | Cesar | en |
local.contributor.firstname | Edward | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | cmaldon3@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.publisher.place | United States of America | en |
local.format.startpage | 267 | en |
local.format.endpage | 273 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 48 | en |
local.identifier.issue | 3 | en |
local.contributor.lastname | Zhang | en |
local.contributor.lastname | Li | en |
local.contributor.lastname | Wang | en |
local.contributor.lastname | Wang | en |
local.contributor.lastname | Shi | en |
local.contributor.lastname | Zhao | en |
local.contributor.lastname | Sanin | en |
local.contributor.lastname | Szczerbicki | en |
dc.identifier.staff | une-id:cmaldon3 | en |
local.profile.orcid | 0000-0001-8515-417X | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/61857 | en |
local.date.onlineversion | 2017-03-02 | - |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Adding Intelligence to Cars Using the Neural Knowledge DNA | en |
local.relation.fundingsourcenote | This work was supported as part of the Project KYTZ201422 by the Scientific Research Foundation of CUIT. | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Zhang, Haoxi | en |
local.search.author | Li, Fei | en |
local.search.author | Wang, Juan | en |
local.search.author | Wang, Zuli | en |
local.search.author | Shi, Lei | en |
local.search.author | Zhao, Jun | en |
local.search.author | Sanin, Cesar | en |
local.search.author | Szczerbicki, Edward | en |
local.uneassociation | No | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.year.available | 2017 | en |
local.year.published | 2017 | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/af1bb82c-c4e3-47d3-bf5f-1263db9ed61e | en |
local.subject.for2020 | 4602 Artificial intelligence | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.date.moved | 2024-08-01 | en |
Appears in Collections: | Journal Article School of Science and Technology |
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