A data-driven intelligent approach for generating garment ease using factor analysis-based multilayer perceptron neural networks
Autori:
Z. Wang, J. Wang, Y. Xing, X. Zeng, P. Bruniaux, C. Chi and M. Zhang
Pubblicato in:
FLINS2020 – The 14th International FLINS Conference on Development of Artificial Intelligence Technology, 2020
Editore:
World Scientific
From big data mining to building of innovative business models in classical industries: a case study of fashion/textile supply chain
Autori:
X. Zeng
Pubblicato in:
ISSAT International Conference on Data Science in Business, Finance and Industry, 2019
Editore:
University of Da Nang
Supplier Prediction in Fashion Industry Using Data Mining Technology
Autori:
N. Harale, S. Thomassey, X. Zeng
Pubblicato in:
IESM2019 – Internationl Conference on Industrial Engineering and Systems Management, 2019
Editore:
University of Paris-Est
Supplier selection in data-driven fashion industry by using MCDM methods
Autori:
N. Harale, S. Thomassey, X. Zeng
Pubblicato in:
25th International Conference on Multiple Criteria Decision Making, 2019
Editore:
Istanbul Technical University
Garment fashion recommendation system for customized garment
Autori:
S. Sharma, L. Koehl, P. Bruniaux, X. Zeng
Pubblicato in:
IESM2019 – Internationl Conference on Industrial Engineering and Systems Management, 2019
Editore:
University of Paris-Est
Customized garment fashion recommendation system using data mining techniques
Autori:
S. Sharma, L. Koehl, P. Bruniaux, X. Zeng
Pubblicato in:
CSEIT 2019 – 6th International Conference on Computer Science, Engineering and Information Technology, 2019
Editore:
International Journal of Business Information Systems Strategies (IJBISS)