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A framework for learning and embedding multi-sensor forecasting models into a decision support system: a case study of methane concentration in coal mines

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cris.lastimport.scopus2024-02-12T20:32:50Z
dc.affiliationUniwersytet Warszawski
dc.contributor.authorŚlęzak, Dominik
dc.contributor.authorJanusz, Andrzej
dc.contributor.authorSikora, Marek
dc.contributor.authorNguyen, Thi Sinh Hoa
dc.contributor.authorGrzegorowski, Marek
dc.contributor.authorStawicki, Sebastian
dc.contributor.authorWróbel, Łukasz
dc.contributor.authorKozielski, Michał
dc.date.accessioned2024-01-24T17:37:35Z
dc.date.available2024-01-24T17:37:35Z
dc.date.issued2018
dc.description.financeNie dotyczy
dc.description.volume451/452
dc.identifier.doi10.1016/J.INS.2018.04.026
dc.identifier.issn0020-0255
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/101554
dc.identifier.weblinkhttps://www.sciencedirect.com/science/article/pii/S0020025518302822#bib001
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.relation.ispartofInformation Sciences
dc.relation.pages112-133
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.titleA framework for learning and embedding multi-sensor forecasting models into a decision support system: a case study of methane concentration in coal mines
dc.typeJournalArticle
dspace.entity.typePublication