{"title":"Classifying for interval and applying for image based on the extracted texture feature","authors":"Dan Nguyen-Thihong, Tai Vo-Van","doi":"10.1007/s41066-024-00450-0","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":29966,"journal":{"name":"Granular Computing","volume":null,"pages":null},"PeriodicalIF":5.5000,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Granular Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s41066-024-00450-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
期刊介绍：
Granular Computing constitutes an extensive body of knowledge, which dwells upon individual formalisms of information granules (established within various settings including set theory, interval calculus, fuzzy sets, rough sets, shadowed sets, probabilistic granules) and unifies them to form a coherent methodological and developmental environment. Granular Computing is about formation, processing and communicating information granules.
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