Výsledky vyhledávání - Spatial-temporal graph convolutional network algorithm~

  1. 1

    Intelligent disassembly scenario understanding for human behavior and intention recognition towards self-perception human-robot collaboration system Autor Xiao, Jinhua, Wang, Bo, Huang, Kaile, Terzi, Sergio, Wang, Wei, Macchi, Marco

    ISSN: 0278-6125, 1878-6642
    Vydáno: Elsevier Ltd 01.12.2025
    Vydáno v Journal of manufacturing systems (01.12.2025)
    “…: action recognition using a Spatial-Temporal Graph Convolutional Network (ST-GCN), disassembly tool detection based on an enhanced YOLO algorithm, and facial angle recognition for operator awareness inference…”
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    Journal Article
  2. 2

    An Attention Enhanced SpatialTemporal Graph Convolutional LSTM Network for Action Recognition in Karate Autor Guo, Jianping, Liu, Hong, Li, Xi, Xu, Dahong, Zhang, Yihan

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.09.2021
    Vydáno v Applied sciences (01.09.2021)
    “… In this paper, a new graph convolution model is proposed. Delaunay’s partitioning algorithm was used to construct a new spatiotemporal topology which can effectively obtain…”
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    Journal Article
  3. 3

    A coarse-to-fine adaptive spatialtemporal graph convolution network with residuals for motor imagery decoding from the same limb Autor Zhu, Lei, Yuan, Jie, Huang, Aiai, Zhang, Jianhai

    ISSN: 1746-8094, 1746-8108
    Vydáno: Elsevier Ltd 01.04.2024
    “…–temporal graph convolutional network with residuals approach is proposed to extract spatial…”
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  4. 4

    Sports behavior analysis technology based on GCN and domain knowledge graph Autor Jiaojiao Hu, Shengnan Ran

    ISSN: 2948-2992
    Vydáno: Springer 17.11.2025
    Vydáno v Discover Computing (17.11.2025)
    “…Abstract To improve the performance of sports behavior recognition, the spatial temporal graph convolutional network is introduced to analyze the spatial temporal features of sports behavior…”
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  5. 5

    ESTS‐GCN: An Ensemble SpatialTemporal Skeleton‐Based Graph Convolutional Networks for Violence Detection Autor Janbi, Nourah Fahad, Ghaseb, Musrea Abdo, Almazroi, Abdulwahab Ali

    ISSN: 0884-8173, 1098-111X
    Vydáno: New York John Wiley & Sons, Inc 2024
    “… In this study, we propose a unique Ensemble SpatialTemporal Skeleton‐Based Graph Convolutional Networks (ESTS‐GCNs…”
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  6. 6

    On hourly prediction of PM2.5 using spatialtemporal graph convolutional network Autor Ren, Zhenxing, Ji, Xinxin

    ISSN: 1865-0473, 1865-0481
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2025
    Vydáno v Earth science informatics (01.06.2025)
    “…Globally, air pollution has garnered significant attention in the past few years. Accurate air pollution like PM 2.5 hourly prediction is an essential…”
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  7. 7

    Analysis of masonry work activity recognition accuracy using a spatiotemporal graph convolutional network across different camera angles Autor Yun, Sangyoon, Hong, Sungkook, Hwang, Sungjoo, Lee, Dongmin, Kim, Hyunsoo

    ISSN: 0926-5805
    Vydáno: Elsevier B.V 01.07.2025
    Vydáno v Automation in construction (01.07.2025)
    “… This paper addresses this gap by using AlphaPose and Spatial-Temporal Graph Convolutional Network (ST-GCN…”
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  8. 8

    The analysis of regional ice and snow tourist destinations under back propagation neural network Autor Wang, Fuxue

    ISSN: 2405-8440, 2405-8440
    Vydáno: England Elsevier Ltd 15.12.2024
    Vydáno v Heliyon (15.12.2024)
    “… A feature recognition model for ice and snow tourism is constructed based on a BPNN combined with a Spatial-Temporal Graph Convolutional Network (ST-GCN) algorithm…”
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  9. 9

    DRGCN-BiLSTM: An Electrocardiogram Heartbeat Classification Using Dynamic Spatial-Temporal Graph Convolutional and Bidirectional Long-Short Term Memory Technique Autor Sharma, Neenu, Joshi, Deepak

    ISSN: 0098-3063, 1558-4127
    Vydáno: New York IEEE 01.02.2025
    “…)-Tomek, dynamic perceptive region spatial-temporal graph convolutional network with bidirectional…”
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  10. 10

    Predicting Traffic Flow Using Dynamic Spatial-Temporal Graph Convolution Networks Autor Liu, Yunchang, Wan, Fei, Liang, Chengwu

    ISSN: 1546-2226, 1546-2218, 1546-2226
    Vydáno: Henderson Tech Science Press 2024
    “… This paper proposes a novel temporal-spatial dynamic graph convolutional network (TSADGCN). The dynamic time warping algorithm (DTW…”
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  11. 11

    A novel adaptive spatialtemporal cross-graph convolutional fusion learning network for skeleton-based abnormal gait recognition Autor Wang, Liang, Wu, Xiaoyan, Wu, Bin, Wu, Jianning

    ISSN: 0952-1976
    Vydáno: Elsevier Ltd 15.08.2025
    “… In this study, a novel adaptive spatialtemporal cross-graph convolutional fusion learning network is proposed to accurately recognize skeleton-based abnormal gait patterns…”
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  12. 12

    Spatial-temporal clustering enhanced multi-graph convolutional network for traffic flow prediction Autor Bao, Yinxin, Shen, Qinqin, Cao, Yang, Shi, Quan

    ISSN: 0924-669X, 1573-7497
    Vydáno: New York Springer US 01.05.2025
    “… To overcome these shortcomings, we propose a novel Spatial-temporal Clustering enhanced Multi-Graph Convolutional Network (SCM-GCN…”
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  13. 13

    FastDTW-Encoded Spatial-temporal Attention Dual Graph Convolutional Network for Traffic Flow Prediction Autor Shen, Bingqi, Chen, Linlong, Yang, Nan

    ISSN: 2474-3828
    Vydáno: IEEE 13.09.2024
    “… Subsequently, dual graph convolutional and temporal convolutional networks are constructed to algorithm spatial-temporal dependencies…”
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    Konferenční příspěvek
  14. 14

    Deformation prediction for the Yuka mining area based on LICSBAS using a velocity-neighborhood spatial algorithm combined with a temporal graph convolutional network (T-GCN) Autor Jia, Hongguo, Yang, Yang, Wang, Zhiwei, Zeng, Xin, He, Yujun, Bai, Zhenghang, Liu, Yuchen

    ISSN: 1939-1404, 2151-1535
    Vydáno: IEEE 2025
    “… To address these disadvantages, we introduce a novel velocity-neighborhood spatial algorithm to accurately predict mining deformation trends and build upon the precise extraction of surface…”
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  15. 15

    A study of falling behavior recognition of the elderly based on deep learning Autor Xu, Pengfei, Sulaiman, Nor Anis Asma, Ding, Yafei, Zhao, Jiangwei, Li, Shengpu

    ISSN: 1863-1703, 1863-1711
    Vydáno: London Springer London 01.09.2024
    Vydáno v Signal, image and video processing (01.09.2024)
    “… of the moving human body is needed. In this paper, the fusion applications of histogram of oriented gradients human body detection algorithm, Camshift human body tracking algorithm, and spatial temporal graph convolutional networks…”
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  16. 16

    Hierarchical Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network Autor Wang, Hanqiu, Zhang, Rongqing, Cheng, Xiang, Yang, Liuqing

    ISSN: 1524-9050, 1558-0016
    Vydáno: New York IEEE 01.09.2022
    “… equipment, there are still many challenges in spatial-temporal traffic flow prediction. In this paper, we propose a novel hierarchical traffic flow prediction protocol based on spatial-temporal graph convolutional network (ST-GCN…”
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  17. 17

    Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification Autor Ji, Xiaopeng, Li, Yan, Wen, Peng

    ISSN: 1534-4320, 1558-0210, 1558-0210
    Vydáno: United States IEEE 01.01.2022
    “…A novel jumping knowledge spatial-temporal graph convolutional network (JK-STGCN) is proposed in this paper to classify sleep stages…”
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    A Fast Skeleton-Based Recognition of Traffic Police Gestures with Spatial-Temporal Graph Convolutional Network Autor Nguyen, Thanh-Hung, Do, Hong-Quan, Pham, Danh-Tuyen, Doan, Trung-Tung, Vu, Viet-Vu

    ISSN: 2473-0130
    Vydáno: IEEE 23.12.2023
    “… Our proposed model will first detect the joints of the human body using the MediaPipe algorithm, then feed them to a Spatial-Temporal Graph Convolutional Network (ST-GCN…”
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    Attention-based spatialtemporal adaptive dual-graph convolutional network for traffic flow forecasting Autor Xia, Dawen, Shen, Bingqi, Geng, Jian, Hu, Yang, Li, Yantao, Li, Huaqing

    ISSN: 0941-0643, 1433-3058
    Vydáno: London Springer London 01.08.2023
    Vydáno v Neural computing & applications (01.08.2023)
    “…–temporal adaptive dual-graph convolutional network (ASTA-DGCN) for TFF in this paper. Specifically, we employ a spatial…”
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    A Dynamic Spatial-Temporal Subgraph Convolutional Network for Noncontact Fault Diagnosis Autor Cao, Yu, Chen, Yongyi, Zhang, Dan, Guo, Fanghong

    ISSN: 0018-9456, 1557-9662
    Vydáno: New York IEEE 2025
    “… To overcome these shortcomings, a dynamic spatial-temporal subgraph convolutional network (DSTSGCN) is proposed for noncontact fault diagnosis…”
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