Artificial Intelligence for Fashion Industry in the Big Data Era
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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2018.
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| Έκδοση: | 1st ed. 2018. |
| Σειρά: | Springer Series in Fashion Business,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- AI based fashion sales forecasting methods in big data era
- Enhanced Predictive Models for Purchasing in the Fashion Field by Applying Regression Trees Equipped with Ordinal Logistic Regression
- A Data Mining Based Framework for Multi-Item Markdown Optimization
- Social Media Analytics for decision support in Fashion Buying Processes
- Review of Artificial Intelligence Applications in Garment Manufacturing
- AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing
- A Discrete Event Simulation Model with Genetic Algorithm Optimization for Customized Textile Production Scheduling
- An intelligent fashion replenishment system based on data analytics and expert judgement
- Blockchain based secured traceability system for textile and clothing supply chain
- Artificial intelligence applied to multisensory studies of textile products
- Evaluation of Fashion Design Using Artificial Intelligence Tools
- Garment wearing comfort analysis using data mining technology
- Garment fit evaluation using machine learning technology.
