Gotowa bibliografia na temat „Personalized pattern-Making”
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Artykuły w czasopismach na temat "Personalized pattern-Making":
Cai, Lan, i Xiao Mei Shang. "The Research of the Pattern Reconstruction Based on the Pattern Silhouette - Take Men’s Shirt for Example". Advanced Materials Research 796 (wrzesień 2013): 450–53. http://dx.doi.org/10.4028/www.scientific.net/amr.796.450.
Wang, Luotao. "Pattern Generation and Design of Floral Patterns Based on Newton’s Iterative Algorithm". Wireless Communications and Mobile Computing 2022 (9.07.2022): 1–11. http://dx.doi.org/10.1155/2022/2116403.
Borodinov, A. A., i V. V. Myasnikov. "Analysis of the preferences of public transport passengers in the task of building a personalized recommender system". Information Technology and Nanotechnology, nr 2391 (2019): 198–205. http://dx.doi.org/10.18287/1613-0073-2019-2391-198-205.
Su, Junqiang, Guolian Liu i Bugao Xu. "Development of individualized pattern prototype based on classification of body features". International Journal of Clothing Science and Technology 27, nr 6 (2.11.2015): 895–907. http://dx.doi.org/10.1108/ijcst-11-2014-0136.
Xin, Mingjun, Yanhui Zhang, Shunxiang Li, Liyuan Zhou i Weimin Li. "A Location-Context Awareness Mobile Services Collaborative Recommendation Algorithm Based on User Behavior Prediction". International Journal of Web Services Research 14, nr 2 (kwiecień 2017): 45–66. http://dx.doi.org/10.4018/ijwsr.2017040103.
Milella, Frida, Lorenzo Famiglini, Giuseppe Banfi i Federico Cabitza. "Application of Machine Learning to Improve Appropriateness of Treatment in an Orthopaedic Setting of Personalized Medicine". Journal of Personalized Medicine 12, nr 10 (12.10.2022): 1706. http://dx.doi.org/10.3390/jpm12101706.
Jin, Peng, Jintu Fan, Rong Zheng, Qing Chen, Le Liu, Runtian Jiang i Hui Zhang. "Design and Research of Automatic Garment-Pattern-Generation System Based on Parameterized Design". Sustainability 15, nr 2 (9.01.2023): 1268. http://dx.doi.org/10.3390/su15021268.
Su, Junqiang, Ying Ke, Caiyuan Kuang, Bingfei Gu i Bugao Xu. "Converting lower-body features from three-dimensional body images into rules for individualized pant patterns". Textile Research Journal 89, nr 11 (31.07.2018): 2199–208. http://dx.doi.org/10.1177/0040517518790975.
Zhang, Chengzhi, Hua Zhao, Xuehua Chi i Shuitian Ma. "Information Organization Patterns from Online Users in a Social Network". KNOWLEDGE ORGANIZATION 46, nr 2 (2019): 90–103. http://dx.doi.org/10.5771/0943-7444-2019-2-90.
Cortés-Ríos, Javiera, Ramón C. Hermida i Maria Rodriguez-Fernandez. "Dosing time optimization of antihypertensive medications by including the circadian rhythm in pharmacokinetic-pharmacodynamic models". PLOS Computational Biology 18, nr 11 (14.11.2022): e1010711. http://dx.doi.org/10.1371/journal.pcbi.1010711.
Rozprawy doktorskie na temat "Personalized pattern-Making":
Chi, Cheng. "Personalized pattern recommendation system of men’s shirts based on precise body measurement". Electronic Thesis or Diss., Centrale Lille Institut, 2022. http://www.theses.fr/2022CLIL0003.
Commercial garment recommendation systems have been widely used in the apparel industry. However, existing research on digital garment design has focused on the technical development of the virtual design process, with little knowledge of traditional designers. The fit of a garment plays a significant role in whether a customer purchases that garment. In order to develop a well-fitting garment, designers and pattern makers should adjust the garment pattern several times until the customer is satisfied. Currently, there are three main disadvantages of traditional pattern-making: 1) it is very time-consuming and inefficient, 2) it relies too much on experienced designers, 3) the relationship between the human body shape and the garment is not fully explored. In practice, the designer plays a key role in a successful design process. There is a need to integrate the designer's knowledge and experience into current garment CAD systems to provide a feasible human-centered, low-cost design solution quickly for each personalized requirement. Also, data-based services such as recommendation systems, body shape classification, 3D body modelling, and garment fit assessment should be integrated into the apparel CAD system to improve the efficiency of the design process.Based on the above issues, in this thesis, a fit-oriented garment pattern intelligent recommendation system is proposed for supporting the design of personalized garment products. The system works in combination with a newly developed design process, i.e. body shape identification - design solution recommendation - 3D virtual presentation and evaluation - design parameter adjustment. This process can be repeated until the user is satisfied. The proposed recommendation system has been validated by some successful practical design cases
Części książek na temat "Personalized pattern-Making":
Raubal, Martin, Dominik Bucher i Henry Martin. "Geosmartness for Personalized and Sustainable Future Urban Mobility". W Urban Informatics, 59–83. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_6.
Čakar, Dario Nikic. "Croatia: Strong Prime Ministers and Weak Coalitions". W Coalition Governance in Western Europe, 640–79. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198868484.003.0019.
Kolarova, Rumyana, i Maria Spirova. "Bulgaria". W Coalition Governance in Central Eastern Europe, 86–128. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198844372.003.0003.
Streszczenia konferencji na temat "Personalized pattern-Making":
Raste, Thomas, Andree Hohm i Alfred Eckert. "Holistic Motion Control for Personalized and Efficient Vehicle Dynamics". W FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2020-vdc-076.