Enhancing the efficiency of 4D printing design through time-series prediction by dense-LSTM crossed network

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Publication Details

Journal
International Journal of Advanced Mechatronic Systems
Published
2025-01-01
DOI
https://doi.org/10.1504/ijamechs.2025.10071224
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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Enhancing the efficiency of 4D printing design through time-series prediction by dense-LSTM crossed network

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Enhancing the efficiency of 4D printing design through time-series prediction by dense-LSTM crossed network

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article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Advanced Mechatronic SystemsVol. 1(1)
Openalex Percentile: Top 82%
Computer Graphics and Visualization Techniques
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