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

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發(fā)表于 2025-3-21 19:31:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence for Fashion Industry in the Big Data Era
影響因子2023Sébastien Thomassey,Xianyi Zeng
視頻videohttp://file.papertrans.cn/163/162368/162368.mp4
發(fā)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
學(xué)科分類Springer Series in Fashion Business
圖書封面Titlebook: Artificial Intelligence for Fashion Industry in the Big Data Era;  Sébastien Thomassey,Xianyi Zeng Book 2018 Springer Nature Singapore Pte
影響因子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
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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
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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.
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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
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Erratum to: Artificial Intelligence for Fashion Industry in the Big Data Era,
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