找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Artificial Intelligence for Fashion Industry in the Big Data Era; Sébastien Thomassey,Xianyi Zeng Book 2018 Springer Nature Singapore Pte

[复制链接]
查看: 7336|回复: 51
发表于 2025-3-21 19:31:09 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence for Fashion Industry in the Big Data Era
影响因子2023Sébastien Thomassey,Xianyi Zeng
视频video
发行地址Provides an overview of current issues in the fashion industry.Includes updates on existing artificial intelligence (AI) techniques suitable for the fashion industry.Highlights practical examples of t
学科分类Springer Series in Fashion Business
图书封面Titlebook: Artificial Intelligence for Fashion Industry in the Big Data Era;  Sébastien Thomassey,Xianyi Zeng Book 2018 Springer Nature Singapore Pte
影响因子This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application.
Pindex Book 2018
The information of publication is updating

书目名称Artificial Intelligence for Fashion Industry in the Big Data Era影响因子(影响力)




书目名称Artificial Intelligence for Fashion Industry in the Big Data Era影响因子(影响力)学科排名




书目名称Artificial Intelligence for Fashion Industry in the Big Data Era网络公开度




书目名称Artificial Intelligence for Fashion Industry in the Big Data Era网络公开度学科排名




书目名称Artificial Intelligence for Fashion Industry in the Big Data Era被引频次




书目名称Artificial Intelligence for Fashion Industry in the Big Data Era被引频次学科排名




书目名称Artificial Intelligence for Fashion Industry in the Big Data Era年度引用




书目名称Artificial Intelligence for Fashion Industry in the Big Data Era年度引用学科排名




书目名称Artificial Intelligence for Fashion Industry in the Big Data Era读者反馈




书目名称Artificial Intelligence for Fashion Industry in the Big Data Era读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 21:45:01 | 显示全部楼层
发表于 2025-3-22 03:57:22 | 显示全部楼层
发表于 2025-3-22 08:06:42 | 显示全部楼层
Minas Dimitriou,Gottfried Schweiger users of social media services. Secondly, the industry faces challenges in meeting the demand of the customer on time. Thirdly, in the last years, fashion blogs have gained increased relevance from the consumers and the industry. Accordingly, the fashion blogs may contain information for supporting
发表于 2025-3-22 09:45:51 | 显示全部楼层
Kommentar: Fairness in der Bioethik,luding production planning, control, and scheduling; garment quality control and inspection; and garment quality evaluation. The challenges facing adoption of AI technologies in garment industry are discussed.
发表于 2025-3-22 13:58:10 | 显示全部楼层
发表于 2025-3-22 21:04:40 | 显示全部楼层
发表于 2025-3-23 00:15:27 | 显示全部楼层
发表于 2025-3-23 03:11:31 | 显示全部楼层
Die Abgrenzung zu anderen Vertriebsartenied to remote garment fit evaluation in the context of e-shopping. Finally, the effectiveness of our proposed method was validated using a set of test samples. Test results showed that digital clothing pressure is a better index than ease allowance to evaluate garment fit, and machine learning-based
发表于 2025-3-23 07:05:21 | 显示全部楼层
Erratum to: Artificial Intelligence for Fashion Industry in the Big Data Era,
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-1 19:27
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表