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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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41#
發(fā)表于 2025-3-28 17:58:45 | 只看該作者
https://doi.org/10.1007/978-3-8349-8848-5stem deals with configuration of numerous operations and resources in facing of various uncertainties and under constraints of sequence, quantity, time, and cost. Artificial intelligence (AI) has been applied to provide optimal scenario in shorter time than traditional mathematical methods. Big data
42#
發(fā)表于 2025-3-28 20:25:51 | 只看該作者
43#
發(fā)表于 2025-3-29 01:05:34 | 只看該作者
44#
發(fā)表于 2025-3-29 04:23:07 | 只看該作者
https://doi.org/10.1057/9781137009333f digitalisation, blockchain technology is finding wide applications in multiple fields including implementing traceability in the supply chain. In this direction, this chapter explores its potential application in implementing a blockchain-based traceability system for textile and clothing (T&C) su
45#
發(fā)表于 2025-3-29 10:05:30 | 只看該作者
https://doi.org/10.1007/978-3-642-58772-6 different levels of perceptions. As for textile products, multisensory research investigates textile or apparel properties perceived through different senses as well as the relations between sensory factors and perceptions of higher levels such as preference and emotion. In order to investigate com
46#
發(fā)表于 2025-3-29 15:15:12 | 只看該作者
Die Abgrenzung zu anderen Vertriebsarten to evaluate fashion design effect using artificial intelligence tools. The proposed evaluation method is applied to a 3D-to-2D garment design process-based garment design case aiming at the physically disabled people with scoliosis (PDPS). A pattern modification model is proposed in order to satisf
47#
發(fā)表于 2025-3-29 18:34:58 | 只看該作者
https://doi.org/10.1007/978-3-8349-9782-1y technology, the numerical clothing pressures were widely applied in the evaluations of garment wear comfort. Compared with traditional measuring methods of garment pressure, the virtual clothing pressure-measuring method has the advantages of lower cost, time saving, efficiency improving, easy acc
48#
發(fā)表于 2025-3-29 23:13:44 | 只看該作者
49#
發(fā)表于 2025-3-30 02:11:08 | 只看該作者
https://doi.org/10.1007/978-981-13-0080-6Artificial intelligence in fashion industry; Intelligent systems for apparel industry; Decision making
50#
發(fā)表于 2025-3-30 06:57:14 | 只看該作者
978-981-13-4325-4Springer Nature Singapore Pte Ltd. 2018
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