Computational Intelligence Approach for Liquid-Gas Flow Regime Classification Based on Frequency Domain Analysis of Signals from Scintillation Detectors
{"title":"Computational Intelligence Approach for Liquid-Gas Flow Regime Classification Based on Frequency Domain Analysis of Signals from Scintillation Detectors","authors":"R. Hanus, M. Zych, M. Jaszczur","doi":"10.1007/978-3-030-20518-8_29","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":103356,"journal":{"name":"International Work-Conference on Artificial and Natural Neural Networks","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Work-Conference on Artificial and Natural Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-030-20518-8_29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}