Výsledky vyhľadávania - Adaptive spatial–temporal graph convolutional network

ST_AGCNT: Traffic Speed Forecasting Based on Spatial–Temporal Adaptive Graph Convolutional Network with Transformer Autor Cheng, Rongjun, Liu, Mengxia, Xu, Yuanzi

“… In order to overcome these challenges, a Spatial–Temporal Adaptive Graph Convolutional Network with Transformer (ST_AGCNT…”
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AdpSTGCN: Adaptive spatial–temporal graph convolutional network for traffic forecasting Autor zhang, Xudong, Chen, Xuewen, Tang, Haina, Wu, Yulei, Shen, Hanji, Li, Jun

“… To address this challenge, we propose an adaptive spatial–temporal graph convolutional network for traffic forecasting…”
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An attention-based adaptive spatial–temporal graph convolutional network for long-video ergonomic risk assessment Autor Zhou, Chengju, Zeng, Jiayu, Qiu, Lina, Wang, Shuxi, Liu, Pingzhi, Pan, Jiahui

“…). Among the automatic approaches, algorithms based on graph convolutional networks (GCNs) have shown promising results in ERA using skeleton sequence as input…”
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Traffic Police 3D Gesture Recognition Based on Spatial-Temporal Fully Adaptive Graph Convolutional Network Autor Fu, Zheng, Chen, Junjie, Jiang, Kun, Wang, Sijia, Wen, Junze, Yang, Mengmeng, Yang, Diange

“… Meanwhile, a fully adaptive spatial-temporal graph convolution network (FA-STGCN) is proposed to recognize the actions with different amplitude and frequencies…”
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Attention-based spatial–temporal adaptive dual-graph convolutional network for traffic flow forecasting Autor Xia, Dawen, Shen, Bingqi, Geng, Jian, Hu, Yang, Li, Yantao, Li, Huaqing

“…–temporal adaptive dual-graph convolutional network (ASTA-DGCN) for TFF in this paper. Specifically, we employ a spatial…”
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A Spatial–Temporal Adaptive Graph Convolutional Network with Multi-Sensor Signals for Tool Wear Prediction Autor Xia, Yu, Zheng, Guangji, Li, Ye, Liu, Hui

“… To overcome these limitations, a novel spatial–temporal adaptive graph convolutional network (STAGCN…”
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AFSTGCN: Prediction for multivariate time series using an adaptive fused spatial-temporal graph convolutional network Autor Xiao, Yuteng, Xia, Kaijian, Yin, Hongsheng, Zhang, Yu-Dong, Qian, Zhenjiang, Liu, Zhaoyang, Liang, Yuehan, Li, Xiaodan

“… In this paper, we propose the Adaptive Fused Spatial-Temporal Graph Convolutional Network (AFSTGCN). First, to address the problem of the unknown spatial-temporal structure, we construct the Adaptive Fused Spatial-Temporal Graph…”
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Multi‐stream adaptive spatial‐temporal attention graph convolutional network for skeleton‐based action recognition Autor Yu, Lubin, Tian, Lianfang, Du, Qiliang, Bhutto, Jameel Ahmed

“… Graph convolutional networks (GCNs) generalize convolutional neural networks (CNNs) to non‐Euclidean graphs and achieve significant performance in skeleton…”
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A novel adaptive spatial–temporal cross-graph convolutional fusion learning network for skeleton-based abnormal gait recognition Autor Wang, Liang, Wu, Xiaoyan, Wu, Bin, Wu, Jianning

“… 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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MAST-GCN: Multi-Scale Adaptive Spatial-Temporal Graph Convolutional Network for EEG-Based Depression Recognition Autor Lu, Haifeng, You, Zhiyang, Guo, Yi, Hu, Xiping

“… In this paper, we propose Multi-scale Adaptive Spatial-Temporal Graph Convolutional Network (MAST-GCN) for mining latent topological structure among EEG channels and capturing discriminative spatio-temporal features…”
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SAST-GCN: Segmentation Adaptive Spatial Temporal-Graph Convolutional Network for P3-Based Video Target Detection Autor Lu, Runnan, Zeng, Ying, Zhang, Rongkai, Yan, Bin, Tong, Li

“… This paper proposes a segmentation adaptive spatial-temporal graph convolutional network (SAST-GCN) for P3-based video target detection…”
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Spatial-temporal dual-channel adaptive graph convolutional network for remaining useful life prediction with multi-sensor information fusion Autor Zhang, Xingwu, Leng, Zhenjiang, Zhao, Zhibin, Li, Ming, Yu, Dan, Chen, Xuefeng

“… To overcome these limitations, a novel graph neural network framework, namely, Spatial–temporal Dual-channel Adaptive Graph Convolutional Network (SDAGCN…”
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STADGCN: spatial–temporal adaptive dynamic graph convolutional network for traffic flow prediction Autor Shi, Ying, Cui, Wentian, Wang, Ruiqin, Lou, Jungang, Shen, Qing

“… In this paper, we propose a novel spatial–temporal adaptive dynamic graph convolutional network for traffic flow prediction…”
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SSTGCNs: Spectral-Spatial-Temporal Long-Range Dependencies Joint Feature Extraction With Graph Convolutional Networks for Adaptive Change Detection Autor Chang, Zhanyuan, Wei, Yuwen, Lian, Jie, Jin, Mingxiao, Wang, Dong, Li, Xuyang

“… To solve the above problems, this article proposes spectral-spatial-temporal long-range dependencies joint feature extraction with graph convolutional networks…”
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Enhancing aquaculture water quality forecasting using novel adaptive multi-channel spatial-temporal graph convolutional network Autor Xiang, Tianqi, Guo, Xiangyun, Chi, Junjie, Gao, Juan, Zhang, Luwei

“… To address this challenge, a prediction model was proposed for water quality, namely an adaptive multi-channel temporal graph convolutional network (AMTGCN…”
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Human Action Recognition Based on Spatial Temporal Adaptive Residual Graph Convolutional Networks with Attention Mechanism Autor Song, Lu, He, Yi, Yuan, Huaqing, Du, Peng

“… This may not be suitable for the diversity of action categories. To address this, we propose a spatial-temporal adaptive residual graph convolutional network with an attention mechanism…”
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Enhancing aquaculture water quality forecasting using novel adaptive multi-channel spatial-temporal graph convolutional network Autor Xiang, Tianqi, Guo, Xiangyun, Chi, Junjie, Gao, Juan, Zhang, Luwei

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

“…–temporal graph convolutional network with residuals approach is proposed to extract spatial…”
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Adaptive Spatial-Temporal Fusion Graph Convolutional Networks for Traffic Flow Forecasting Autor Li, Senwen, Ge, Liang, Lin, Yongquan, Zeng, Bo

“… It may not accurately reflect the spatial-temporal correlations among nodes. Secondly, only the correlations among nodes adjacent in time or space are considered in each graph convolutional layer…”
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Spatial–Temporal Similarity Fusion Graph Adversarial Convolutional Networks for traffic flow forecasting Autor Wang, Bin, Long, Zhendan, Sheng, Jinfang, Zhong, Qiang

“… This paper introduces a novel model, the Spatial–Temporal Similarity Fusion Graphs Adversarial Convolutional Networks (STSF-GACN…”
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