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dc.contributor.authorBastani, Favyen
dc.contributor.authorHe, Songtao
dc.contributor.authorJiang, Ziwen
dc.contributor.authorBastani, Osbert
dc.contributor.authorMadden, Sam
dc.date.accessioned2022-07-15T16:42:11Z
dc.date.available2022-07-15T16:42:11Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143775
dc.language.isoen
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionof10.1145/3486607.3486750en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACMen_US
dc.titleSkyQuery: an aerial drone video sensing platformen_US
dc.typeArticleen_US
dc.identifier.citationBastani, Favyen, He, Songtao, Jiang, Ziwen, Bastani, Osbert and Madden, Sam. 2021. "SkyQuery: an aerial drone video sensing platform." Proceedings of the 2021 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalProceedings of the 2021 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Softwareen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-07-15T16:33:42Z
dspace.orderedauthorsBastani, F; He, S; Jiang, Z; Bastani, O; Madden, Sen_US
dspace.date.submission2022-07-15T16:33:44Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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