{"title":"基于荟萃分析研究、递归神经网络和递归神经网络蒙特卡洛算法改进使用纳米颗粒的纳米复合材料的分类方法","authors":"Rania Loukil, Wejden Gazehi, Mongi Besbes","doi":"10.1080/20550324.2024.2367181","DOIUrl":null,"url":null,"abstract":"This paper may be the first meta-analysis that presents a comprehensive synthesis of scientific works spanning the last five years, focusing on methodologies and results related to the analysis of ...","PeriodicalId":18872,"journal":{"name":"Nanocomposites","volume":"28 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving the classification of a nanocomposite using nanoparticles based on a meta-analysis study, recurrent neural network and recurrent neural network Monte-Carlo algorithms\",\"authors\":\"Rania Loukil, Wejden Gazehi, Mongi Besbes\",\"doi\":\"10.1080/20550324.2024.2367181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper may be the first meta-analysis that presents a comprehensive synthesis of scientific works spanning the last five years, focusing on methodologies and results related to the analysis of ...\",\"PeriodicalId\":18872,\"journal\":{\"name\":\"Nanocomposites\",\"volume\":\"28 1\",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nanocomposites\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1080/20550324.2024.2367181\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, COMPOSITES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nanocomposites","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1080/20550324.2024.2367181","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, COMPOSITES","Score":null,"Total":0}
Improving the classification of a nanocomposite using nanoparticles based on a meta-analysis study, recurrent neural network and recurrent neural network Monte-Carlo algorithms
This paper may be the first meta-analysis that presents a comprehensive synthesis of scientific works spanning the last five years, focusing on methodologies and results related to the analysis of ...
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