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Yinhuan Li

As seen in: Wiley Online Library, PLOS ONE, Royal Society of Chemistry
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Articles

Spatial coupling relationship between older adults and elderly care resources in the Yangtze River Delta

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By Linyi Qian, Data Science-MOE, Yinhuan Li, Lianxia Wu
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Wu L, Qian L, Li Y, Huang Z, Guan W (2023) Spatial coupling relationship between older adults and elderly care resources in the Yangtze River Delta. PLoS ONE 18(11): e0293985. https://doi.org/10.1371/journal.pone.0293985 Editor: Changjian Wang, Guangzhou Institute of Geography, Guangdong Academy of Sciences, CHINA Received: July 25, 2023; Accepted: October 23, 2023; Published: November 7, 2023 Copyright: © 2023 Wu et al.
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Short‐term wind power prediction based on stacked denoised auto‐encoder deep learning and multi‐level transfer learning

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By Xiaosheng Peng, Yinhuan Li, Bo Wang, Zimin Yang
| Wiley Online Library Verified
Hierarchical model migration After the samples to be migrated are selected, there are three migration sequences in model migration: sequential migration, reverse migration, and disordered migration. The principles of the three migration sequences are shown in Figure 3. The principle of sequential migration is shown in Figure 3A. First, a multi-layer SDAE network skeleton is prepared as the final network.
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Regulated Electron Migration in Sandwich-Like m-Ti3C2/Fe3O4 Composites Derived from Electrostatic Assembly Boosted Electromagnetic Wave Absorption

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By Yuxiao Yang, Jianyun Zhao, Yinhuan Li, Jiuhong Wang
| Royal Society of Chemistry Verified
Regulated Electron Migration in Sandwich-Like m-Ti3C2/Fe3O4 Composites Derived from Electrostatic Assembly Boosted Electromagnetic Wave Absorption Yuxiao Yang, Jianyun Zhao, Jiuhong Wang, Yinhuan Li, Wei Yu and Shujiang Ding Abstract Magnetic MXene-based composites have been extensively developed for highly effective electromagnetic (EM) wave absorption.
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