{"version.version":"0.0.7","version.cm_url":"https://github.com/ceurws/ceur-spt","spt.html_url":"/Vol-4013/paper9.html","spt.description":null,"spt.id":"Vol-4013/paper9","spt.wikidataid":null,"spt.title":"Hybrid model for predicting and correcting readings of the helicopter turboshaft engines gas temperature sensor using neural networks and CPS infrastructure","spt.pdfUrl":"https://ceur-ws.org/Vol-4013/paper9.pdf","spt.volume":{"number":4013,"acronym":"ICyberPhyS 2025","wikidataid":null,"title":"Proceedings of the 2nd International Workshop on Intelligent & CyberPhysical Systems (ICyberPhyS 2025)","description":null,"url":null,"date":"2025-08-25","dblp":null,"k10plus":null,"urn":null},"spt.session":null,"cvb.id":"Vol-4013/paper9","cvb.title":"Hybrid model for predicting and correcting readings of the helicopter turboshaft engines gas temperature sensor using neural networks and CPS infrastructure","cvb.type":null,"cvb.position":null,"cvb.pagesFrom":null,"cvb.pagesTo":null,"cvb.authors":"Serhii Vladov,Anatoliy Sachenko,Victoria Vysotska,Nataliia Vladova,Viktor Ostroverkhov","cvb.vol_number":"4013","cvb.pdf_name":"paper9.pdf","cvb.pages":"111–128","cvb.fail":null}