{"title":"Bathymetry Estimation Using Machine Learning in the Ulleung Basin in the East Sea","authors":"Kwang Bae Kim, Ji Sung Kim, Hong Sik Yun","doi":"10.18494/sam4415","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":"102 1","pages":"0"},"PeriodicalIF":1.0000,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors and Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18494/sam4415","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
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Sensors and Materials is designed to provide a forum for people working in the multidisciplinary fields of sensing technology, and publishes contributions describing original work in the experimental and theoretical fields, aimed at understanding sensing technology, related materials, associated phenomena, and applied systems. Expository review papers and short notes are also acceptable.
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