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AIxSET 2024

https://id.confref.org/data/confident/47764

This record is part of the confref event IEEE International Conference on AI in Science, Engineering and Technology 2024.

rdf:typecf:Category_Event
schema:locationLaguna Hills (wd:Q862679)
rdfs:labelAIxSET 2024
cf:Academic_Fieldhttps://id.confref.org/data/confident/25686
cf:Academic_Fieldhttps://id.confref.org/data/confident/25800
cf:Academic_Fieldhttps://id.confref.org/data/confident/25848
cf:Academic_Fieldhttps://id.confref.org/data/confident/26316
cf:AcronymAIxSET 2024
cf:Camera-Ready_Deadline2024-09-01
cf:CityLaguna Hills
cf:Countryhttps://id.confref.org/data/confident/31086
cf:Country_Missingfalse
cf:Creation_date2024-09-13T09:16:44
cf:DOI10.25798/ncv0-eq53
cf:Display_TitleAIxSET 2024
cf:End_Date2024-10-02
cf:Event_Modehybrid
cf:Event_Statusas scheduled
cf:Has_Metricfalse
cf:Has_subobjecthttps://id.confref.org/data/confident/47764/3136f9bb2071d2dab284b32609d0a7be
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cf:In_Event_Serieshttps://id.confref.org/data/confident/47763
cf:Modification_date2024-09-17T07:54:24
cf:Month9
cf:Notification_Deadline2024-08-10
cf:Official_Websitehttps://www.aixset.org/
cf:Organizer_Missingfalse
cf:Paper_Deadline2024-07-15
cf:RegionCalifornia
cf:Registration_Linkhttp://www.45mins.org/registration/registration_aixset_secure.jsp
cf:Single_Day_Eventno
cf:Start_Date2024-09-30
cf:Start_Date_Missingfalse
cf:Submission_Linkhttps://www.aixset.org/submission
cf:TitleIEEE International Conference on AI in Science, Engineering and Technology 2024
cf:VenueThe Hills Hotel
cf:Workshop_Deadline2024-07-22
cf:Year2024
cf:pagehttps://www.confident-conference.org/index.php/Event:5297f6db-c1e5-4f3c-b5cc-2bf5ec1ff9d2
cf:pageTitleEvent:5297f6db-c1e5-4f3c-b5cc-2bf5ec1ff9d2
cr:disciplinetechnology (wd:Q11016)
cr:disciplineengineering (wd:Q11023)
cr:disciplineartificial intelligence (wd:Q11660)
cr:disciplinescience (wd:Q336)
cr:fieldComputer and information sciences (https://id.confref.org/data/oecd-fos/1.2)
cr:fieldOther natural sciences (https://id.confref.org/data/oecd-fos/1.7)
cr:fieldEngineering and technology (https://id.confref.org/data/oecd-fos/2)

Data: Turtle · JSON-LD · N-Triples · RDF/XML

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