Suchergebnisse - Spatial-temporal graph convolutional network algorithm
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Intelligent disassembly scenario understanding for human behavior and intention recognition towards self-perception human-robot collaboration system
ISSN: 0278-6125, 1878-6642Veröffentlicht: Elsevier Ltd 01.12.2025Veröffentlicht 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 …”
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An Attention Enhanced Spatial–Temporal Graph Convolutional LSTM Network for Action Recognition in Karate
ISSN: 2076-3417, 2076-3417Veröffentlicht: Basel MDPI AG 01.09.2021Veröffentlicht 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 …”
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A coarse-to-fine adaptive spatial–temporal graph convolution network with residuals for motor imagery decoding from the same limb
ISSN: 1746-8094, 1746-8108Veröffentlicht: Elsevier Ltd 01.04.2024Veröffentlicht in Biomedical signal processing and control (01.04.2024)“… –temporal graph convolutional network with residuals approach is proposed to extract spatial …”
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Sports behavior analysis technology based on GCN and domain knowledge graph
ISSN: 2948-2992Veröffentlicht: Springer 17.11.2025Veröffentlicht 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 …”
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ESTS‐GCN: An Ensemble Spatial–Temporal Skeleton‐Based Graph Convolutional Networks for Violence Detection
ISSN: 0884-8173, 1098-111XVeröffentlicht: New York John Wiley & Sons, Inc 2024Veröffentlicht in International journal of intelligent systems (2024)“… In this study, we propose a unique Ensemble Spatial–Temporal Skeleton‐Based Graph Convolutional Networks (ESTS‐GCNs …”
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On hourly prediction of PM2.5 using spatial–temporal graph convolutional network
ISSN: 1865-0473, 1865-0481Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2025Veröffentlicht 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 …”
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Analysis of masonry work activity recognition accuracy using a spatiotemporal graph convolutional network across different camera angles
ISSN: 0926-5805Veröffentlicht: Elsevier B.V 01.07.2025Veröffentlicht in 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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The analysis of regional ice and snow tourist destinations under back propagation neural network
ISSN: 2405-8440, 2405-8440Veröffentlicht: England Elsevier Ltd 15.12.2024Veröffentlicht 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 …”
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DRGCN-BiLSTM: An Electrocardiogram Heartbeat Classification Using Dynamic Spatial-Temporal Graph Convolutional and Bidirectional Long-Short Term Memory Technique
ISSN: 0098-3063, 1558-4127Veröffentlicht: New York IEEE 01.02.2025Veröffentlicht in IEEE transactions on consumer electronics (01.02.2025)“… )-Tomek, dynamic perceptive region spatial-temporal graph convolutional network with bidirectional …”
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Predicting Traffic Flow Using Dynamic Spatial-Temporal Graph Convolution Networks
ISSN: 1546-2226, 1546-2218, 1546-2226Veröffentlicht: Henderson Tech Science Press 2024Veröffentlicht in Computers, materials & continua (2024)“… This paper proposes a novel temporal-spatial dynamic graph convolutional network (TSADGCN). The dynamic time warping algorithm (DTW …”
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A novel adaptive spatial–temporal cross-graph convolutional fusion learning network for skeleton-based abnormal gait recognition
ISSN: 0952-1976Veröffentlicht: Elsevier Ltd 15.08.2025Veröffentlicht in Engineering applications of artificial intelligence (15.08.2025)“… In this study, a novel adaptive spatial–temporal cross-graph convolutional fusion learning network is proposed to accurately recognize skeleton-based abnormal gait patterns …”
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Spatial-temporal clustering enhanced multi-graph convolutional network for traffic flow prediction
ISSN: 0924-669X, 1573-7497Veröffentlicht: New York Springer US 01.05.2025Veröffentlicht 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 …”
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FastDTW-Encoded Spatial-temporal Attention Dual Graph Convolutional Network for Traffic Flow Prediction
ISSN: 2474-3828Veröffentlicht: IEEE 13.09.2024Veröffentlicht in IEEE International Symposium on IT in Medicine and Education (13.09.2024)“… Subsequently, dual graph convolutional and temporal convolutional networks are constructed to algorithm spatial-temporal dependencies …”
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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)
ISSN: 1939-1404, 2151-1535Veröffentlicht: IEEE 2025Veröffentlicht in IEEE journal of selected topics in applied earth observations and remote sensing (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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A study of falling behavior recognition of the elderly based on deep learning
ISSN: 1863-1703, 1863-1711Veröffentlicht: London Springer London 01.09.2024Veröffentlicht 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 …”
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Hierarchical Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network
ISSN: 1524-9050, 1558-0016Veröffentlicht: New York IEEE 01.09.2022Veröffentlicht in IEEE transactions on intelligent transportation systems (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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Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification
ISSN: 1534-4320, 1558-0210, 1558-0210Veröffentlicht: United States IEEE 01.01.2022Veröffentlicht in IEEE transactions on neural systems and rehabilitation engineering (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
ISSN: 2473-0130Veröffentlicht: IEEE 23.12.2023Veröffentlicht in 2023 RIVF International Conference on Computing and Communication Technologies (RIVF) (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 spatial–temporal adaptive dual-graph convolutional network for traffic flow forecasting
ISSN: 0941-0643, 1433-3058Veröffentlicht: London Springer London 01.08.2023Veröffentlicht 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 …”
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A Dynamic Spatial-Temporal Subgraph Convolutional Network for Noncontact Fault Diagnosis
ISSN: 0018-9456, 1557-9662Veröffentlicht: New York IEEE 2025Veröffentlicht in IEEE transactions on instrumentation and measurement (2025)“… To overcome these shortcomings, a dynamic spatial-temporal subgraph convolutional network (DSTSGCN) is proposed for noncontact fault diagnosis …”
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