{"title":"人工神经网络（ANN）和响应面方法（RSM）用于优化机织物的润湿和抗菌性能","authors":"Valentinus Galih Vidia Putra, Juliany Ningsih Mohamad, Fadil Abdullah, Markus Paramahasti","doi":"10.1080/00405000.2024.2366698","DOIUrl":null,"url":null,"abstract":"This study aims to enhance woven fabric’s antibacterial properties by coating with betel leaf extract using immersion and plasma pre-treatment techniques. It explores nano surface modification and ...","PeriodicalId":22700,"journal":{"name":"The Journal of The Textile Institute","volume":"52 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial neural networks (ANNs) and response surface methodology (RSM) for optimizing wetting and anti-bacterial properties of woven fabric\",\"authors\":\"Valentinus Galih Vidia Putra, Juliany Ningsih Mohamad, Fadil Abdullah, Markus Paramahasti\",\"doi\":\"10.1080/00405000.2024.2366698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to enhance woven fabric’s antibacterial properties by coating with betel leaf extract using immersion and plasma pre-treatment techniques. It explores nano surface modification and ...\",\"PeriodicalId\":22700,\"journal\":{\"name\":\"The Journal of The Textile Institute\",\"volume\":\"52 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of The Textile Institute\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/00405000.2024.2366698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of The Textile Institute","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/00405000.2024.2366698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial neural networks (ANNs) and response surface methodology (RSM) for optimizing wetting and anti-bacterial properties of woven fabric
This study aims to enhance woven fabric’s antibacterial properties by coating with betel leaf extract using immersion and plasma pre-treatment techniques. It explores nano surface modification and ...
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