標(biāo)題: Titlebook: Artificial Intelligence for Fashion Industry in the Big Data Era; Sébastien Thomassey,Xianyi Zeng Book 2018 Springer Nature Singapore Pte [打印本頁] 作者: Indigent 時間: 2025-3-21 19:31
書目名稱Artificial Intelligence for Fashion Industry in the Big Data Era影響因子(影響力)
書目名稱Artificial Intelligence for Fashion Industry in the Big Data Era影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence for Fashion Industry in the Big Data Era網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence for Fashion Industry in the Big Data Era網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence for Fashion Industry in the Big Data Era被引頻次
書目名稱Artificial Intelligence for Fashion Industry in the Big Data Era被引頻次學(xué)科排名
書目名稱Artificial Intelligence for Fashion Industry in the Big Data Era年度引用
書目名稱Artificial Intelligence for Fashion Industry in the Big Data Era年度引用學(xué)科排名
書目名稱Artificial Intelligence for Fashion Industry in the Big Data Era讀者反饋
書目名稱Artificial Intelligence for Fashion Industry in the Big Data Era讀者反饋學(xué)科排名
作者: guzzle 時間: 2025-3-21 21:45 作者: exhilaration 時間: 2025-3-22 03:57 作者: Factorable 時間: 2025-3-22 08:06
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作者: cortisol 時間: 2025-3-22 09:45
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.作者: reperfusion 時間: 2025-3-22 13:58 作者: Obsessed 時間: 2025-3-22 21:04 作者: Immobilize 時間: 2025-3-23 00:15 作者: 惰性氣體 時間: 2025-3-23 03:11
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作者: 柔聲地說 時間: 2025-3-23 07:05
Erratum to: Artificial Intelligence for Fashion Industry in the Big Data Era,作者: 公社 時間: 2025-3-23 12:19 作者: intrigue 時間: 2025-3-23 14:45 作者: corporate 時間: 2025-3-23 21:16
Enhanced Predictive Models for Purchasing in the Fashion Field by Applying Regression Trees Equippedadaptation. Since regression trees can be formulated through rules, this makes possible to comprehend the model. Nevertheless, a drawback of decision trees is the sensibility to input space, which may cause very enormous deviations in terms of prediction. To reduce this effect on forecast, we propos作者: 針葉樹 時間: 2025-3-24 01:10 作者: 無聊的人 時間: 2025-3-24 03:33 作者: Eeg332 時間: 2025-3-24 07:35
Review of Artificial Intelligence Applications in Garment Manufacturingluding 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.作者: 音樂學(xué)者 時間: 2025-3-24 12:47
A Discrete Event Simulation Model with Genetic Algorithm Optimisation for Customised Textile Products. Indeed, the implementation of this model is very vast. This would permit the use of a powerful discrete event model with an optimisation algorithm which gives numerous possibilities from manufacturing scheduling to the global supply chain, distribution and logistics planning and optimisation.作者: 流行 時間: 2025-3-24 15:04
An Intelligent Fashion Replenishment System Based on Data Analytics and Expert Judgment. The retailer boosted sales, demand cover, and stock rotation performance: an estimated 1M EUR margin/month positive impact. Moreover, the new system improved store managers morale through non-monetary incentive-driven empowerment.作者: 歌劇等 時間: 2025-3-24 22:21
Artificial Intelligence Applied to Multisensory Studies of Textile Products we are going to discuss the recent application of artificial intelligence to the study of fabric tactile properties from a multisensory point of view. To be specific, the whole work is divided into two major parts. In the first part, the intelligent tools of fuzzy comprehensive evaluation and genet作者: 貪婪地吃 時間: 2025-3-25 00:04 作者: 指令 時間: 2025-3-25 03:32 作者: formula 時間: 2025-3-25 09:45
https://doi.org/10.1057/9781137009333 traceability. Further, a case-based example has been used to explain blockchain application in implementing traceability in T&C supply chain. Finally, it mentions the challenges and limitations of such blockchain-based traceability system that can be addressed through further research.作者: arterioles 時間: 2025-3-25 14:01 作者: ORE 時間: 2025-3-25 16:27 作者: 馬具 時間: 2025-3-25 23:17
2366-8776 for the fashion industry.Highlights practical examples of tThis 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 st作者: 較早 時間: 2025-3-26 04:06 作者: 變形詞 時間: 2025-3-26 05:07
Book 2018niques 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-wo作者: 玉米 時間: 2025-3-26 10:35
Culture, Values, and Organizational Fairness forecasting, decision making in supply chain management or social networks and fashion e-marketing. Thus, this book aims to illustrate the different possibilities and advantages of artificial intelligence for the fashion industry in the big data era. This introduction chapter provides a brief description of each chapter of this book.作者: 閑蕩 時間: 2025-3-26 13:40
Die Abgrenzung zu anderen Vertriebsartenlogy. Also, using sensory evaluation, professional design knowledge of the designers can be fully applied to control the 2D technical space of garment design based on the perception of 3D garment virtual try-on result.作者: RENIN 時間: 2025-3-26 18:22
https://doi.org/10.1007/978-3-8349-9782-1data. The result shows that the pants’ pressure wear comfort is mainly influenced by four factors; there are thigh–hip factor, shank factor, waist factor, and crotch factor. The share of these four factors’ influence accounts for about 82.0%, and the thigh–hip factor takes up the biggest share and reaches to 44.5%.作者: 行乞 時間: 2025-3-26 23:58 作者: 模仿 時間: 2025-3-27 01:07 作者: ALIBI 時間: 2025-3-27 08:12
Garment Wearing Comfort Analysis Using Data Mining Technologydata. The result shows that the pants’ pressure wear comfort is mainly influenced by four factors; there are thigh–hip factor, shank factor, waist factor, and crotch factor. The share of these four factors’ influence accounts for about 82.0%, and the thigh–hip factor takes up the biggest share and reaches to 44.5%.作者: Blood-Vessels 時間: 2025-3-27 11:45
Artificial Intelligence for Fashion Industry in the Big Data Era978-981-13-0080-6Series ISSN 2366-8776 Series E-ISSN 2366-8784 作者: 反省 時間: 2025-3-27 14:55 作者: 講個故事逗他 時間: 2025-3-27 19:39
Culture, Values, and Organizational Fairnessshion trend. Many artificial intelligent (AI) methods and AI-based hybrid methods have been proven to be efficient for conducting fashion sales forecasting in previous studies. With the development and application of big data, information analytics would definitely lead to benefit for fashion sales 作者: 脫落 時間: 2025-3-28 00:22 作者: Ganglion 時間: 2025-3-28 02:53 作者: 有雜色 時間: 2025-3-28 08:20
Minas Dimitriou,Gottfried Schweigers diverse topics online on the other hand. Accordingly, different research streams have emerged in order to tackle the diverse phenomena related to social media. Social media analytics as an interdisciplinary research field has arisen and integrates the different approaches of structural attributes,作者: Fortuitous 時間: 2025-3-28 11:16
Kommentar: Fairness in der Bioethik,res compel manufacturers to continuously improve the performance of their production process in order to deliver the finished product within the most approximate period of time and the lowest production cost. However, consistent and optimal solutions are difficult to obtain under a fuzzy and dynamic作者: CANE 時間: 2025-3-28 17:58
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作者: liposuction 時間: 2025-3-28 20:25 作者: nominal 時間: 2025-3-29 01:05 作者: Inkling 時間: 2025-3-29 04:23
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作者: aristocracy 時間: 2025-3-29 10:05
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作者: CURB 時間: 2025-3-29 15:15
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作者: Popcorn 時間: 2025-3-29 18:34
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作者: 有毛就脫毛 時間: 2025-3-29 23:13 作者: 組裝 時間: 2025-3-30 02:11
https://doi.org/10.1007/978-981-13-0080-6Artificial intelligence in fashion industry; Intelligent systems for apparel industry; Decision making作者: myriad 時間: 2025-3-30 06:57
978-981-13-4325-4Springer Nature Singapore Pte Ltd. 2018作者: 可忽略 時間: 2025-3-30 11:07 作者: AWRY 時間: 2025-3-30 16:01
Springer Series in Fashion Businesshttp://image.papertrans.cn/b/image/162368.jpg
