{"title":"An effective GPU-based random grid secret sharing using an autoencoder image super-resolution","authors":"Raviraja Holla M, Suma D","doi":"10.1080/23311916.2024.2390134","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":10464,"journal":{"name":"Cogent Engineering","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cogent Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23311916.2024.2390134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
期刊介绍:
One of the largest, multidisciplinary open access engineering journals of peer-reviewed research, Cogent Engineering, part of the Taylor & Francis Group, covers all areas of engineering and technology, from chemical engineering to computer science, and mechanical to materials engineering. Cogent Engineering encourages interdisciplinary research and also accepts negative results, software article, replication studies and reviews.