Deep learning algorithms identify and track bubbles through gas-liquid interfaces in real time

Scilight Pub Date : 2024-08-09 DOI:10.1063/10.0028327
Adam P. Liebendorfer
{"title":"Deep learning algorithms identify and track bubbles through gas-liquid interfaces in real time","authors":"Adam P. Liebendorfer","doi":"10.1063/10.0028327","DOIUrl":null,"url":null,"abstract":"Powered by advances in graphics processors, the algorithmic duo’s achievement has broad applications from chemical engineering to nuclear power.","PeriodicalId":487052,"journal":{"name":"Scilight","volume":"29 44","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scilight","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.1063/10.0028327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Powered by advances in graphics processors, the algorithmic duo’s achievement has broad applications from chemical engineering to nuclear power.
深度学习算法实时识别和跟踪穿过气液界面的气泡
在图形处理器进步的推动下,这对算法组合的成就在化学工程和核能等领域都有广泛的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信