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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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

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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.

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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.

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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.

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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

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