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    Establishing a GRU-GCN coordination-based prediction model for miRNA-disease associations by Kai-Cheng Chuang, Ping-Sung Cheng, Yu-Hung Tsai, Meng-Hsiun Tsai

    Published 2025-01-01
    “…After preprocessing, data was trained with a novel model combining gated recurrent units (GRU) and graph convolutional network (GCN) to predict the level of miRNA-disease associations. …”
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    Article
  3. 23

    Surface Temperature Assisted State of Charge Estimation for Retired Power Batteries by Liangyu Xu, Wenxuan Han, Jiawei Dong, Ke Chen, Yuchen Li, Guangchao Geng

    Published 2025-08-01
    “…By employing infrared thermal imaging, key temperature feature regions—the positive/negative tabs and central area—are identified, which exhibit strong correlations with SOC dynamics under varying operational conditions. A Gated Recurrent Unit (GRU) neural network is developed to integrate multi-region temperature data with electrical parameters, capturing spatial–temporal thermal–electrical interactions unique to retired batteries. …”
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  4. 24

    Study on Single-event Gate Rupture Mechanism of Asymmetric-trench SiC MOSFET by WANG Lihao1, 2, DONG Tao2, FANG Xingyu2, QI Xiaowei2, WANG Liang2, CHEN Miao2, ZHANG Xing1, ZHAO Yuanfu2

    Published 2025-04-01
    “…During the experiment, two source measure units (SMUs) were employed to apply drain bias and gate bias, respectively, while monitoring and recording the drain leakage current (ID) and gate leakage current (IG). …”
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    Article
  5. 25

    Deep Learning-Based Control of Active Power Filters Using LSTM and GRU Networks for Harmonic and Frequency Estimation by Juan L. Flores-Garrido, Patricio Salmeron, Juan A. Gomez-Galan, Alejandro Perez-Valles

    Published 2025-01-01
    “…In particular, the long short-term memory (LSTM) and the gated recurrent unit (GRU) networks allow improvements on signal processing. …”
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    Article
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    Hybrid CNN-GRU Models for Improved EEG Motor Imagery Classification by Mouna Bouchane, Wei Guo, Shuojin Yang

    Published 2025-02-01
    “…The first model combines a shallow convolutional neural network and a gated recurrent unit (CNN-GRU), while the second incorporates a convolutional neural network with a bidirectional gated recurrent unit (CNN-Bi-GRU). …”
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  8. 28

    RUL Prediction Based on MBGD-WGAN-GRU for Lithium-Ion Batteries by Zhiguo Zhao, Ke Li, Yibo Dai, Biao Chen, Yeqin Wang, Qian Zhao

    Published 2025-01-01
    “…The extracted IHF and expanded training set are then used to train a gated recurrent unit (GRU) model, leveraging GRU’s strengths in sequential data processing to improve the characterization of battery aging trends. …”
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  9. 29

    Can machine learning distinguish between elite and non-elite rowers? by Orten Kristine Fjellkårstad, Helgesen Sander Elias Magnussen, Chen Bihui, Baselizadeh Adel, Torresen Jim, Herrebrøden Henrik

    Published 2025-05-01
    “…A potentially relevant tool is machine learning, useful because of its ability to extract patterns from data. In the current study, we employed various deep learning frameworks, including Gated Recurrent Unit networks (GRUs), Convolutional Neural Networks (CNNs), and Multi-Layer Perceptrons (MLPs), to search for differences between elite and non-elite rowers using a rowing ergometer. …”
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  10. 30

    Ultra-sensitive heterojunction double gate BioTFET device for SARS-CoV-2 biomolecules detection by P. Vimala, A. Sharon Geege, N. Mohankumar, T. S. Arun Samuel, T. Ananth Kumar, P. Suveetha Dhanaselvam, I. Vivek Anand

    Published 2025-04-01
    “…The device exhibits superior performance in terms of high drain current with enhanced sensitivity for precise biosensing applications.…”
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    A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention by Huifeng Wang, Jianchuan Yin, Jianchuan Yin, Nini Wang, Lijun Wang, Lijun Wang

    Published 2025-06-01
    “…The core of the model combines temporal convolutional networks (TCNs) and bidirectional gated recurrent units (BiGRUs). These deep learning techniques enable the model to extract both spatial features and temporal dependencies from the data. …”
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    Features of refeeding syndrome in pediatric intensive care unit patients (literature review) by I. A. Lisitsa, Yu. S. Aleksandrovich, A. N. Zavyalova, O. V. Lisovskii, V. P. Novikova, V. V. Pogorelchuk

    Published 2024-10-01
    “…Restoration of nutrition in patients with nutritional deficiency hospitalized in intensive care units is a complex process due to the high risk of the development of refeeding syndrome. …”
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