Suchergebnisse - Spatial-temporal graph convolutional network algorithm

Andere Suchmöglichkeiten:

  1. 1

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

    ISSN: 0278-6125, 1878-6642
    Veröffentlicht: Elsevier Ltd 01.12.2025
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  2. 2

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

    ISSN: 2076-3417, 2076-3417
    Veröffentlicht: Basel MDPI AG 01.09.2021
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  3. 3

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

    ISSN: 1746-8094, 1746-8108
    Veröffentlicht: Elsevier Ltd 01.04.2024
    Veröffentlicht in Biomedical signal processing and control (01.04.2024)
    “… –temporal graph convolutional network with residuals approach is proposed to extract spatial …”
    Volltext
    Journal Article
  4. 4

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

    ISSN: 2948-2992
    Veröffentlicht: Springer 17.11.2025
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  5. 5

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

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

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

    ISSN: 1865-0473, 1865-0481
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2025
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  7. 7

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

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

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

    ISSN: 2405-8440, 2405-8440
    Veröffentlicht: England Elsevier Ltd 15.12.2024
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  9. 9

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

    ISSN: 0098-3063, 1558-4127
    Veröffentlicht: New York IEEE 01.02.2025
    Veröffentlicht in IEEE transactions on consumer electronics (01.02.2025)
    “… )-Tomek, dynamic perceptive region spatial-temporal graph convolutional network with bidirectional …”
    Volltext
    Journal Article
  10. 10

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

    ISSN: 1546-2226, 1546-2218, 1546-2226
    Veröffentlicht: Henderson Tech Science Press 2024
    Veröffentlicht in Computers, materials & continua (2024)
    “… This paper proposes a novel temporal-spatial dynamic graph convolutional network (TSADGCN). The dynamic time warping algorithm (DTW …”
    Volltext
    Journal Article
  11. 11

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

    ISSN: 0952-1976
    Veröffentlicht: Elsevier Ltd 15.08.2025
    Veröffentlicht in Engineering applications of artificial intelligence (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 …”
    Volltext
    Journal Article
  12. 12

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

    ISSN: 0924-669X, 1573-7497
    Veröffentlicht: New York Springer US 01.05.2025
    Veröffentlicht in Applied intelligence (Dordrecht, Netherlands) (01.05.2025)
    “… To overcome these shortcomings, we propose a novel Spatial-temporal Clustering enhanced Multi-Graph Convolutional Network (SCM-GCN …”
    Volltext
    Journal Article
  13. 13

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

    ISSN: 2474-3828
    Veröffentlicht: IEEE 13.09.2024
    “… Subsequently, dual graph convolutional and temporal convolutional networks are constructed to algorithm spatial-temporal dependencies …”
    Volltext
    Tagungsbericht
  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) von Jia, Hongguo, Yang, Yang, Wang, Zhiwei, Zeng, Xin, He, Yujun, Bai, Zhenghang, Liu, Yuchen

    ISSN: 1939-1404, 2151-1535
    Veröffentlicht: 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 …”
    Volltext
    Journal Article
  15. 15

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

    ISSN: 1863-1703, 1863-1711
    Veröffentlicht: London Springer London 01.09.2024
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  16. 16

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

    ISSN: 1524-9050, 1558-0016
    Veröffentlicht: 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 …”
    Volltext
    Journal Article
  17. 17

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

    ISSN: 1534-4320, 1558-0210, 1558-0210
    Veröffentlicht: 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 …”
    Volltext
    Journal Article
  18. 18

    A Fast Skeleton-Based Recognition of Traffic Police Gestures with Spatial-Temporal Graph Convolutional Network von Nguyen, Thanh-Hung, Do, Hong-Quan, Pham, Danh-Tuyen, Doan, Trung-Tung, Vu, Viet-Vu

    ISSN: 2473-0130
    Veröffentlicht: 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 …”
    Volltext
    Tagungsbericht
  19. 19

    Attention-based spatialtemporal adaptive dual-graph convolutional network for traffic flow forecasting von Xia, Dawen, Shen, Bingqi, Geng, Jian, Hu, Yang, Li, Yantao, Li, Huaqing

    ISSN: 0941-0643, 1433-3058
    Veröffentlicht: London Springer London 01.08.2023
    Veröffentlicht in Neural computing & applications (01.08.2023)
    “… –temporal adaptive dual-graph convolutional network (ASTA-DGCN) for TFF in this paper. Specifically, we employ a spatial …”
    Volltext
    Journal Article
  20. 20

    A Dynamic Spatial-Temporal Subgraph Convolutional Network for Noncontact Fault Diagnosis von Cao, Yu, Chen, Yongyi, Zhang, Dan, Guo, Fanghong

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