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[186] A. Uber, Jr., P. J. de Freitas Filho, and R. A. Silveira, "E-HIPS: An extension of the framework HIPS for stagger of distributed process in production systems based on multiagent systems and memetic algorithms," in *Proc. Mex. Int. Conf. Artif. Intell. Cham*, Switzerland: Springer, 2015, pp. 413-430.

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[188] L. S. Admuthie and S. D. Apte, "Computational model using ANFIS and GA: Application for textile spinning process," in *Proc. 2nd IEEE Int. Conf. Comput. Sci. Inf. Technol. (ICCSIT)*, Aug. 2009, pp. 110-114.

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[190] D. Wen, G. Liu, Y. Zhou, and S. Jin, "The study of enhancing authenticity of cloth surface intersection processing," in *Proc. Pacific-Asia Workshop Comput. Intell. Ind. Appl. (PACIIA)*, vol. 1, Dec. 2008, pp. 977-981.

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[194] M. T. Habib, S. B. Shuvo, M. S. Uddin, and F. Ahmed, "Automated textile defect classification by Bayesian classifier based on statistical features," in *Proc. Int. Workshop Comput. Intell. (IWCI)*, Dec. 2016, pp. 101-105.

[195] Y.-I. Ha, S. Kwon, M. Cha, and J. Joo, "Fashion conversation data on instagram," in *Proc. 11th Int. Conf. Web Social Media (ICWSM)*, 2017, pp. 418-427.

[196] D. Siegmund, T. Samartzidis, B. Fu, A. Braun, and A. Kuijper, "Fiber defect detection of inhomogeneous voluminous textiles," in *Proc. Mex. Conf. Pattern Recognit.*, 2017, pp. 278-287.

[197] S. Jiang, M. Shao, C. Jia, and Y. Fu, "Consensus style centralizing auto-encoder for weak style classification," in *Proc. AAAI*, 2016, pp. 1223-1229.

[198] L. Fan and G. Jiang, "Optimized Gabor filter parameters for uniform texture flaw detection," in *Proc. IEEE Int. Conf. Intell. Syst. Knowl. Eng. (ISKE)*, Nov. 2010, pp. 173-176.

[199] V. Carvalho, F. Soares, and R. Vasconcelos, "Artificial intelligence and image processing based techniques: A tool for yarns parameterization and fabrics prediction," in *Proc. IEEE Conf. Emerg. Technol. Factory Automat. (ETFA)*, Sep. 2009, pp. 1-4.

[200] I. Amed, A. Balchandani, M. Beltrami, A. Berg, S. Hedrich, and F. Rölkens, "The state of fashion 2019: A year of awakening," McKinsey & Company, Nov. 2018. [Online]. Available: https://www.mckinsey.com/industries/retail/our-insights/the-state-of-fashion-2019-a-year-of-awakening

[201] T. G. Dietterich, "Ensemble learning," *Handbook Brain Theory Neural Netw.*, vol. 2, pp. 110-125, Mar. 2002.

[202] C. Zhang and Y. Ma, *Ensemble Machine Learning: Methods and Applications*. New York, NY, USA: Springer, 2012.

[203] K. Ramasubramanian and A. Singh, "Deep learning using keras and tensorflow," in *Machine Learning With R*. Berkeley, CA, USA: Apress, 2019, pp. 667-688.

[204] C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna, "Rethinking the inception architecture for computer vision," in *Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)*, Jun. 2016, pp. 2818-2826.

[205] M. Boeckhout, G. A. Zielhuis, and A. L. Bredenoord, "The FAIR guiding principles for data stewardship: Fair enough?" *Eur. J. Hum. Genet.*, vol. 26, no. 7, pp. 931-936, May 2018.

<figure><img src="image_19.png" /></figure>

**CHANDADEVI GIRI** received the M.Sc. degree in big data systems from National Research University, Moscow, in 2015. She is currently pursuing the Ph.D. degree through the framework of Erasmus Mundus Joint Doctorate Program-Sustainable Management and Design of Textile (SMDTex). She was a Senior Analyst for a multinational IT consultant company Cognizant Technology Solutions, Mumbai, for three years. She has been an Erasmus Scholar, since 2017. Her research was

supported by the European Commission. She is affiliated with three universities including the ENSAIT, Lille University of Science and Technology, France, the University of Boras, Sweden, and Soochow University, China. Her current research interests include artificial intelligence, recommendation systems, big data analytics, predictive modeling, machine learning, and expert systems.

<figure><img src="image_20.png" /></figure>

**SHEENAM JAIN** received the B.Tech. degree from BMIET, India, in 2014, and the master's degree in fashion technology from NIFT, New Delhi, India, in 2016. She is currently pursuing the Ph.D. degree through the framework of Erasmus Mundus Joint Doctorate Program-Sustainable Management and Design of Textile (SMDTex) affiliated by three universities, including ENSAIT/GEMTEX, the Lille University of Science and Technology, France, the University of

Boras, Sweden, and Soochow University, China. She is also an Erasmus Scholar. Her research was supported by the European Commission. Her current research interests include big data, artificial intelligence, recommendation systems, apparel industry, digitalization, and the mass customization of apparel.

<figure><img src="image_21.png" /></figure>

**XIANYI ZENG** received the B.Eng. degree from Tsinghua University, Beijing, China, in 1986, and the Ph.D. degree from the Centre d'Automatique, Université des Sciences et Technologies de Lille, Villeneuve-d'Ascq, France, in 1992. He is currently a Professor with the Ecole Nationale Supérieure des Arts et Industries Textiles (ENSAIT), Roubaix, France, and the Director of the GEMTEX Laboratory, Roubaix. His research interests include intelligent decision sup-

port systems for fashion and material design, and the modeling and analysis of human perception and cognition on industrial products and their integration into virtual products.

<figure><img src="image_22.png" /></figure>

**PASCAL BRUNIAUX** was born in Denain, France, in 1959. He received the Ph.D. degree in automatics from the Lille University of Science and Technology, Villeneuve d'Ascq, France, in 1988. In 2007, he became a Full Professor in computer, automatic, and signal processing. He has published over 17 scientific book chapters, one scientific book, and 42 papers in reviewed international journals. He has presented over 97 papers at international conferences. He is a Supervisor of 22 Ph.D.

students. His research interests include the modeling of textile structures, the modeling and virtualization of the human being, the analysis of textile comfort and consumer well-being, supervised and unsupervised classification of 3-D morphologies, the analysis of the process of customization of clothing, and setting up the virtual tailor.

<figure><img src="image_23.png" /></figure>
[185] N. Klement, C. Silva, and O. Gibaru, "Solving a discrete lot sizing and scheduling problem with unrelated parallel machines and sequence dependent setup using a generic decision support tool," in *Proc. IFIP Int. Conf. Adv. Prod. Manage. Syst.*, vol. 513, 2017, pp. 459-466.

[186] A. Uber, Jr., P. J. de Freitas Filho, and R. A. Silveira, "E-HIPS: An extension of the framework HIPS for stagger of distributed process in production systems based on multiagent systems and memetic algorithms," in *Proc. Mex. Int. Conf. Artif. Intell. Cham*, Switzerland: Springer, 2015, pp. 413-430.

[187] P. Y. Mok, "Intelligent apparel production planning for optimizing manual operations using fuzzy set theory and evolutionary algorithms," in *Proc. 5th Int. Workshop Genetic Evol. Fuzzy Syst. Symp. Comput. Intell. (IEEE GEFS SSCI)*, Apr. 2011, pp. 103-110.

[188] L. S. Admuthie and S. D. Apte, "Computational model using ANFIS and GA: Application for textile spinning process," in *Proc. 2nd IEEE Int. Conf. Comput. Sci. Inf. Technol. (ICCSIT)*, Aug. 2009, pp. 110-114.

[189] L. Suyi and Z. Leduo, "Textile pattern generation technique based on quasi-regular pattern theory and their transform," in *Proc. Pacific-Asia Workshop Comput. Intell. Ind. Appl. (PACIIA)*, vol. 2, Dec. 2008, pp. 264-266.

[190] D. Wen, G. Liu, Y. Zhou, and S. Jin, "The study of enhancing authenticity of cloth surface intersection processing," in *Proc. Pacific-Asia Workshop Comput. Intell. Ind. Appl. (PACIIA)*, vol. 1, Dec. 2008, pp. 977-981.

[191] S. Vorasitchai and S. Madarasmi, "Improvements on layout of garment patterns for efficient fabric consumption," in *Proc. IEEE Int. Symp. Circuits Syst.*, vol. 4, May 2003, pp. IV552-IV555.

[192] J. Távora and H. Coelho, "A path planner for the cutting of nested irregular layouts," in *Proc. Portuguese Conf. Artif. Intell.*, in Lecture Notes in Computer Science, vol. 390, 1989, pp. 246-256.

[193] B. Kalra, K. Srivastava, and M. Prateek, "Computer vision based personalized clothing assistance system: A proposed model," in *Proc. 2nd Int. Conf. Next Gener. Comput. Technol. (NGCT)*, Oct. 2016, pp. 341-346.

[194] M. T. Habib, S. B. Shuvo, M. S. Uddin, and F. Ahmed, "Automated textile defect classification by Bayesian classifier based on statistical features," in *Proc. Int. Workshop Comput. Intell. (IWCI)*, Dec. 2016, pp. 101-105.

[195] Y.-I. Ha, S. Kwon, M. Cha, and J. Joo, "Fashion conversation data on instagram," in *Proc. 11th Int. Conf. Web Social Media (ICWSM)*, 2017, pp. 418-427.

[196] D. Siegmund, T. Samartzidis, B. Fu, A. Braun, and A. Kuijper, "Fiber defect detection of inhomogeneous voluminous textiles," in *Proc. Mex. Conf. Pattern Recognit.*, 2017, pp. 278-287.

[197] S. Jiang, M. Shao, C. Jia, and Y. Fu, "Consensus style centralizing auto-encoder for weak style classification," in *Proc. AAAI*, 2016, pp. 1223-1229.

[198] L. Fan and G. Jiang, "Optimized Gabor filter parameters for uniform texture flaw detection," in *Proc. IEEE Int. Conf. Intell. Syst. Knowl. Eng. (ISKE)*, Nov. 2010, pp. 173-176.

[199] V. Carvalho, F. Soares, and R. Vasconcelos, "Artificial intelligence and image processing based techniques: A tool for yarns parameterization and fabrics prediction," in *Proc. IEEE Conf. Emerg. Technol. Factory Automat. (ETFA)*, Sep. 2009, pp. 1-4.

[200] I. Amed, A. Balchandani, M. Beltrami, A. Berg, S. Hedrich, and F. Rölkens, "The state of fashion 2019: A year of awakening," McKinsey & Company, Nov. 2018. [Online]. Available: https://www.mckinsey.com/industries/retail/our-insights/the-state-of-fashion-2019-a-year-of-awakening

[201] T. G. Dietterich, "Ensemble learning," *Handbook Brain Theory Neural Netw.*, vol. 2, pp. 110-125, Mar. 2002.

[202] C. Zhang and Y. Ma, *Ensemble Machine Learning: Methods and Applications*. New York, NY, USA: Springer, 2012.

[203] K. Ramasubramanian and A. Singh, "Deep learning using keras and tensorflow," in *Machine Learning With R*. Berkeley, CA, USA: Apress, 2019, pp. 667-688.

[204] C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna, "Rethinking the inception architecture for computer vision," in *Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)*, Jun. 2016, pp. 2818-2826.

[205] M. Boeckhout, G. A. Zielhuis, and A. L. Bredenoord, "The FAIR guiding principles for data stewardship: Fair enough?" *Eur. J. Hum. Genet.*, vol. 26, no. 7, pp. 931-936, May 2018.

<figure><img src="image_20.png" /></figure>

**CHANDADEVI GIRI** received the M.Sc. degree in big data systems from National Research University, Moscow, in 2015. She is currently pursuing the Ph.D. degree through the framework of Erasmus Mundus Joint Doctorate Program-Sustainable Management and Design of Textile (SMDTex). She was a Senior Analyst for a multinational IT consultant company Cognizant Technology Solutions, Mumbai, for three years. She has been an Erasmus Scholar, since 2017. Her research was

supported by the European Commission. She is affiliated with three universities including the ENSAIT, Lille University of Science and Technology, France, the University of Boras, Sweden, and Soochow University, China. Her current research interests include artificial intelligence, recommendation systems, big data analytics, predictive modeling, machine learning, and expert systems.

<figure><img src="image_21.png" /></figure>

**SHEENAM JAIN** received the B.Tech. degree from BMIET, India, in 2014, and the master's degree in fashion technology from NIFT, New Delhi, India, in 2016. She is currently pursuing the Ph.D. degree through the framework of Erasmus Mundus Joint Doctorate Program-Sustainable Management and Design of Textile (SMDTex) affiliated by three universities, including ENSAIT/GEMTEX, the Lille University of Science and Technology, France, the University of

Boras, Sweden, and Soochow University, China. She is also an Erasmus Scholar. Her research was supported by the European Commission. Her current research interests include big data, artificial intelligence, recommendation systems, apparel industry, digitalization, and the mass customization of apparel.

<figure><img src="image_22.png" /></figure>

**XIANYI ZENG** received the B.Eng. degree from Tsinghua University, Beijing, China, in 1986, and the Ph.D. degree from the Centre d'Automatique, Université des Sciences et Technologies de Lille, Villeneuve-d'Ascq, France, in 1992. He is currently a Professor with the Ecole Nationale Supérieure des Arts et Industries Textiles (ENSAIT), Roubaix, France, and the Director of the GEMTEX Laboratory, Roubaix. His research interests include intelligent decision sup-

port systems for fashion and material design, and the modeling and analysis of human perception and cognition on industrial products and their integration into virtual products.

<figure><img src="image_23.png" /></figure>

**PASCAL BRUNIAUX** was born in Denain, France, in 1959. He received the Ph.D. degree in automatics from the Lille University of Science and Technology, Villeneuve d'Ascq, France, in 1988. In 2007, he became a Full Professor in computer, automatic, and signal processing. He has published over 17 scientific book chapters, one scientific book, and 42 papers in reviewed international journals. He has presented over 97 papers at international conferences. He is a Supervisor of 22 Ph.D.

students. His research interests include the modeling of textile structures, the modeling and virtualization of the human being, the analysis of textile comfort and consumer well-being, supervised and unsupervised classification of 3-D morphologies, the analysis of the process of customization of clothing, and setting up the virtual tailor.

<figure><img src="image_24.png" /></figure>