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  1. 1

    Emotion recognition based on convolutional gated recurrent units with attention by Zhu Ye, Yuan Jing, Qinghua Wang, Pengrui Li, Zhihong Liu, Mingjing Yan, Yongqing Zhang, Dongrui Gao

    Published 2023-12-01
    “…To address this issue, we propose an Attention-Based Depthwise Parameterized Convolutional Gated Recurrent Unit (AB-DPCGRU) model and validate it with the mixed experiment on the SEED and SEED-IV datasets. …”
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    Article
  2. 2

    A novel current‐source management integrated circuit applied to high‐voltage integrated gate commutated thyristor gate driver by Shiping Chen, Zhanqing Yu, Jiaxu Shi, Zhengyu Chen, Lu Qu, Jinpeng Wu, Rong Zeng

    Published 2025-06-01
    “…Abstract This paper presents a fully customised integrated gate commutated thyristor (IGCT) gate driver monolithic integrated circuit (GDMIC), aiming to address the many shortcomings of traditional IGCT gate driver units composed of discrete components, such as the excessive number of components, low reliability, and complex development processes. …”
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    Article
  3. 3

    Recognition of Ground Clutter in Single-Polarization Radar Based on Gated Recurrent Unit by Jiaxin Wang, Haibo Zou, Landi Zhong, Zhiqun Hu

    Published 2024-12-01
    “…A new method is proposed for identifying ground clutter in single-polarization radar data based on the gated recurrent unit (GRU) neural network. This method needs five independent input variables related to radar reflectivity structure, which are the reflectivity at current tilt, the reflectivity at the upper tilt, the reflectivity at 3.5 km, the echo top height, and the texture of reflectivity at current tilt, respectively. …”
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    Article
  4. 4

    Stochastic weather simulation based on gate recurrent unit and generative adversarial networks by Lingling Han, Xueqian Fu, Xinyue Chang, Yixuan Li, Xiang Bai

    Published 2024-11-01
    “…This article presents a random weather simulation model based on gate recurrent unit (GRU) and generative adversarial networks (GAN). …”
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    Article
  5. 5

    TARREAN: A Novel Transformer with a Gate Recurrent Unit for Stylized Music Generation by Yumei Zhang, Yulin Zhou, Xiaojiao Lv, Jinshan Li, Heng Lu, Yuping Su, Honghong Yang

    Published 2025-01-01
    “…To address these problems, we propose a novel Transformer-based model that incorporates a gate recurrent unit with root mean square norm restriction (TARREAN). …”
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    Article
  6. 6

    Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent Unit by Bin Li, Yaping Lu, Xuguang Meng, Peijie Li

    Published 2025-03-01
    “…It is necessary to study a control strategy so that wind farms can use energy storage to improve their controllability to the level of traditional units. Therefore, this paper proposes a control strategy for wind storage systems based on temporal pattern attention (TPA) and bidirectional gated recurrent units (BiGRUs). …”
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    Article
  7. 7

    Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

    Published 2025-01-01
    “…To eliminate the noise, this paper presents an electromagnetic data denoising approach based on the improved dung beetle optimized (IDBO) gated recurrent unit (GRU) and its application. Firstly, Spatial Pyramid Matching (SPM) chaotic mapping, variable spiral strategy, Levy flight mechanism, and adaptive T-distribution variation perturbation strategy were utilized to enhance the DBO algorithm. …”
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    Article
  8. 8

    Global Navigation Satellite System-Based Deformation Monitoring of Hydraulic Structures Using a Gated Recurrent Unit–Attention Mechanism by Haiyang Li, Yilin Xie, Azhong Dong, Jianping Xu, Xun Lu, Jinfeng Ding, Yan Zi

    Published 2025-04-01
    “…In this study, we propose a comprehensive method for Global Navigation Satellite System (GNSS) deformation monitoring in hydraulic structures by integrating the strengths of Gated Recurrent Units (GRUs) and Autoregressive Attention mechanisms. …”
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    Article
  9. 9

    A Solution of Three-phase Current Synchronous Sampling for Permanent Magnet Synchronous Motor Based on FPGA by LIAO Licheng, LI Miao

    Published 2024-06-01
    “…Synchronously sampling three-phase current in the traction control unit based on the control cycle is necessary to enhance control of permanent magnet synchronous motors. …”
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    Article
  10. 10

    A Spatio-Temporal Joint Diagnosis Framework for Bearing Faults via Graph Convolution and Attention-Enhanced Bidirectional Gated Networks by Zhiguo Xiao, Xinyao Cao, Huihui Hao, Siwen Liang, Junli Liu, Dongni Li

    Published 2025-06-01
    “…To address these challenges, this paper proposes a joint diagnosis framework integrating graph convolutional networks (GCNs) with attention-enhanced bidirectional gated recurrent units (BiGRUs). The proposed framework first constructs an improved K-nearest neighbor-based spatio-temporal graph to enhance multidimensional spatial–temporal feature modeling through GCN-based spatial feature extraction. …”
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    Article
  11. 11

    A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

    Published 2025-05-01
    “…Efficient feature extraction was achieved by applying a pre-trained Inception V3 model and then bidirectional gated recurrent units (Bi-GRUs) to include sequential modeling. …”
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    Article
  12. 12

    Many-body computing on Field Programmable Gate Arrays by Songtai Lv, Yang Liang, Yuchen Meng, Xiaochen Yao, Jincheng Xu, Yang Liu, Qibin Zheng, Haiyuan Zou

    Published 2025-03-01
    “…Additionally, we show that the current hardware computing acceleration is on par with that of multi-threaded Graphics Processing Unit parallel processing. …”
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  13. 13
  14. 14

    Research on Lithium battery life prediction model based on CNN-GRU combined neural network by ZHANG An′an, XIE Linxing, YANG Wei

    Published 2025-07-01
    “…A lithium battery life prediction model based on a combined neural network of convolutional neural network (CNN) and gated recurrent unit (GRU) is proposed. Four indirect health factors including constant current charging time interval, constant voltage charging time interval, discharging temperature peak time and cycle times are extracted from lithium battery charging and discharging experiments, and the Pearson and Spearman correlation coefficients are established. …”
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  15. 15

    A multi-scale local attention mechanism for aspect extraction by Qian Yang, Jinsen Zhu, Hongyu Du, Haoran Xia, Sisi Shao, Chen Yuan, Wengtao Wang, Yimu Ji

    Published 2025-07-01
    “…Feature extraction is then performed with gated recurrent units, followed by representation learning at various window sizes through the MLA. …”
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    Article
  16. 16

    Accurate Chemistry Identification of Lithium-Ion Batteries Based on Temperature Dynamics with Machine Learning by Ote Amuta, Jiaqi Yao, Dominik Droese, Julia Kowal

    Published 2025-05-01
    “…In this paper, we propose a novel machine learning-based approach for accurate chemistry identification of the electrode materials in LIBs based on their temperature dynamics under constant current cycling using gated recurrent unit (GRU) networks. …”
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  17. 17

    The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China by Yumin Fang, Lifeng Zhang, Yi He, Wang Yang, Tianbao Huo, Qing Zhang, Jiangang Lu

    Published 2024-01-01
    “…Furthermore, by applying a gated recurrent unit prediction mode that incorporates the refined displacement characteristics and mechanisms, we forecasted the landslide's displacement trends. …”
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    Article
  18. 18

    Cairo behind the gates: studying the sensory configuration of Al-Rehab City by Noha Gamal Said

    Published 2013-02-01
    “…The current research aims to elaborate the sensory configuration of a gated community named Al Rehab City in Cairo. …”
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  19. 19

    Bipolar Morphological Neural Networks: Gate-Efficient Architecture for Computer Vision by Elena E. Limonova, Daniil M. Alfonso, Dmitry P. Nikolaev, Vladimir V. Arlazarov

    Published 2021-01-01
    “…The most interesting from a practical point of view are application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) and central processing units (CPUs). …”
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  20. 20