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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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ИННОВАЦИОННЫЕ ТЕХНОЛОГИИ В ОБЛАСТИ ЛЁГКОЙ ПРОМЫШЛЕННОСТИ: ИСПОЛЬЗОВАНИЕ ДЕКОРАТИВНЫХ ЭЛЕМЕНТОВ В ОДЕЖДЕ (НА ПРИМЕРЕ ПРОГРАММ MARVELOUS DESIGNER И AUTOCAD)

ИННОВАЦИОННЫЕ ТЕХНОЛОГИИ В ОБЛАСТИ ЛЁГКОЙ ПРОМЫШЛЕННОСТИ: ИСПОЛЬЗОВАНИЕ ДЕКОРАТИВНЫХ ЭЛЕМЕНТОВ В ОДЕЖДЕ (НА ПРИМЕРЕ ПРОГРАММ MARVELOUS DESIGNER И AUTOCAD)

Abstract

В статье рассматриваются инновационные технологии, применяемые в лёгкой промышленности при проектировании одежды с декоративными элементами. Особое внимание уделено использованию программ Marvelous Designer и AutoCAD для создания 3D-моделей и автоматизации процессов конструирования. Представлены преимущества цифрового моделирования при интеграции традиционного декора в современный дизайн. Показана значимость цифровых технологий для повышения качества и конкурентоспособности текстильной продукции.

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green