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Determining Optimal Meter Placements based on Multiple Data-driven Statistical Methods for Effective Pipe Burst Detection

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dc.contributor.authorDonghwi Jung-
dc.date.accessioned2022-07-09T08:40:55Z-
dc.date.available2022-07-09T08:40:55Z-
dc.date.created2022-07-09-
dc.date.issued2022-02-24-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/142503-
dc.publisher고려대학교-
dc.titleDetermining Optimal Meter Placements based on Multiple Data-driven Statistical Methods for Effective Pipe Burst Detection-
dc.title.alternativeDetermining Optimal Meter Placements based on Multiple Data-driven Statistical Methods for Effective Pipe Burst Detection-
dc.typeConference-
dc.contributor.affiliatedAuthorDonghwi Jung-
dc.identifier.bibliographicCitation7th International Conference on Harmony search, Soft computing and Applications-
dc.relation.isPartOf7th International Conference on Harmony search, Soft computing and Applications-
dc.relation.isPartOfProceedings of 7th International Conference on Harmony Search, Soft Computing and Applications-
dc.citation.title7th International Conference on Harmony search, Soft computing and Applications-
dc.citation.conferencePlaceKO-
dc.citation.conferenceDate2022-02-23-
dc.type.rimsCONF-
dc.description.journalClass1-
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