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EG-ICE 2023

https://id.confref.org/data/confident/36641

This record is part of the confref event 30th EG-ICE International Workshop on Intelligent Computing in Engineering.

rdf:typecf:Category_Event
schema:locationLondon (wd:Q84)
rdfs:labelEG-ICE 2023
cf:Academic_Fieldhttps://id.confref.org/data/confident/27582
cf:Academic_Fieldhttps://id.confref.org/data/confident/27735
cf:AcronymEG-ICE 2023
cf:CityLondon
cf:Countryhttps://id.confref.org/data/confident/31085
cf:Country_Missingfalse
cf:Creation_date2023-03-17T08:30:54
cf:DOI10.25798/7dkw-vx22
cf:Display_TitleEG-ICE 2023
cf:End_Date2023-07-07
cf:Event_Modeon site
cf:Event_Statusas scheduled
cf:Has_Metricfalse
cf:Has_subobjecthttps://id.confref.org/data/confident/36641/49602454077df3715c2cd80dd01198e6
cf:Has_subobjecthttps://id.confref.org/data/confident/36641/620b0516936de73e8f25a97be422b058
cf:Has_subobjecthttps://id.confref.org/data/confident/36641/84ff5157e8f47be967954689506f2ca3
cf:In_Event_Serieshttps://id.confref.org/data/confident/36639
cf:Modification_date2023-03-17T12:05:26
cf:Month7
cf:Official_Websitehttps://www.ucl.ac.uk/bartlett/construction/research/virtual-research-centres/institute-digital-innovation-built-environment/30th-eg-ice
cf:Ordinal30
cf:Organizer_Missingfalse
cf:RegionCamden
cf:Registration_Linkhttps://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-the-built-environment-c04/the-bartlett-school-of-construction-and-project-and-management-f37/f37-eg-ice-conference-2023
cf:Single_Day_Eventno
cf:Start_Date2023-07-04
cf:Start_Date_Missingfalse
cf:Submission_Linkhttps://easychair.org/account/signin?l=CCrtndiB3xJvi2cclIq6Pd
cf:Title30th EG-ICE International Workshop on Intelligent Computing in Engineering
cf:VenueUniversity College London
cf:Year2023
cf:pagehttps://www.confident-conference.org/index.php/Event:17f2b3d2-b546-4025-969f-88eea5dc82db
cf:pageTitleEvent:17f2b3d2-b546-4025-969f-88eea5dc82db
cr:disciplinecivil engineering (wd:Q77590)
cr:fieldComputer and information sciences (https://id.confref.org/data/oecd-fos/1.2)
cr:fieldCivil engineering (https://id.confref.org/data/oecd-fos/2.1)

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

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