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Titlebook: Artificial Intelligence on Fashion and Textiles; Proceedings of the A Wai Keung Wong Conference proceedings 2019 Springer Nature Switzerlan

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期刊全稱Artificial Intelligence on Fashion and Textiles
期刊簡稱Proceedings of the A
影響因子2023Wai Keung Wong
視頻videohttp://file.papertrans.cn/163/162532/162532.mp4
發(fā)行地址Presents recent research devoted to Artificial Intelligence on Fashion and Textiles.Includes Proceedings of the Artificial Intelligence on Textile and Apparel (AITA) Conference 2018 held at the Hong K
學(xué)科分類Advances in Intelligent Systems and Computing
圖書封面Titlebook: Artificial Intelligence on Fashion and Textiles; Proceedings of the A Wai Keung Wong Conference proceedings 2019 Springer Nature Switzerlan
影響因子.The book includes the Proceedings of the Artificial Intelligence on Fashion and Textiles conference 2018 which provides state-of-the-art techniques and applications of AI in the fashion and textile industries. It is essential reading for scientists, researchers and R&D professionals working in the field of AI with applications in the fashion and textile industry; managers in the fashion and textile enterprises; and anyone with an interest in the applications of AI.. .Over the last two decades, with the great advancement of computer technology, academic research in artificial intelligence (AI) and its applications in fashion and textile supply chain has been becoming a very hot topic and has received greater attention from both academics and industrialists. A number of AI-related techniques has been successfully employed and proven to handle the problems including fashion sales forecasting, supply chain optimization, planning and scheduling, textile materialdefect detection, fashion and textile image recognition, fashion image and style retrieval, human body modeling and fitting, etc..
Pindex Conference proceedings 2019
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Fault Treatment and Continued Service,im of the proposed framework is to predict performances and minimize costs of the bleach washing. In the framework, a series of surrogate models are first constructed for illustrating the relationships between bleach washing parameters and washing performances by the orthogonal experimental design,
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Damage Confinement and Assessment,d use a multi-classifier model based on Support Vector Machine (SVM) to extract physical features of customers. The physical features include four features: skin-color, face-shape, shoulder-shape and body-shape. Second, CERS stores the specific physical feature of customers into the Fact Base of the
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