Výsledky vyhľadávania - Adaptive spatial–temporal graph convolutional network

AFSTGCN: Prediction for multivariate time series using an adaptive fused spatial-temporal graph convolutional network

Autori: Yuteng Xiao Kaijian Xia Hongsheng Yin a ďalší

Zdroj: Digital Communications and Networks, Vol 10, Iss 2, Pp 292-303 (2024)

Predmety: Spatial-temporal graph, Adaptive adjacency matrix, 0202 electrical engineering, electronic engineering, information engineering, Graph convolutional network, Multivariate time series prediction, Information technology, 02 engineering and technology, T58.5-58.64, Digital twin

Prístupová URL adresa: https://doaj.org/article/39acc40997904058a4f9433288a512a5

STADGCN: spatial–temporal adaptive dynamic graph convolutional network for traffic flow prediction

Autori: Ying Shi Wentian Cui Ruiqin Wang a ďalší

Zdroj: Neural Computing and Applications. 37:14783-14796

MAST-GCN: Multi-Scale Adaptive Spatial-Temporal Graph Convolutional Network for EEG-Based Depression Recognition

Autori: Haifeng Lu Zhiyang You Yi Guo a ďalší

Zdroj: IEEE Transactions on Affective Computing. 15:1985-1996

Enhancing aquaculture water quality forecasting using novel adaptive multi-channel spatial-temporal graph convolutional network

Autori: Tianqi Xiang Xiangyun Guo Junjie Chi a ďalší

Zdroj: International Journal of Agricultural and Biological Engineering. 18:279-291

ASTE: adaptive spatial-temporal enhanced graph convolution network for traffic flow prediction.

Autori: Zeng, Hui Cui, Qiang Huang, Xiaohui a ďalší

Zdroj: Cluster Computing. Nov2025, Vol. 28 Issue 13, p1-22. 22p.

Predmety: *INTELLIGENT transportation systems, *GRAPH neural networks, *NONLINEAR estimation, *STATISTICAL correlation, *TRAFFIC estimation, *DYNAMIC models

A Spatial–Temporal Adaptive Graph Convolutional Network with Multi-Sensor Signals for Tool Wear Prediction

Autori: Yu Xia Guangji Zheng Ye Li a ďalší

Zdroj: Applied Sciences, Vol 15, Iss 4, p 2058 (2025)

Predmety: Technology, QH301-705.5, Physics, QC1-999, Engineering (General). Civil engineering (General), spatial–temporal graph neural network, Chemistry, tool wear prediction, multi-sensor fusion, TA1-2040, Biology (General), attention mechanism, QD1-999

Prístupová URL adresa: https://doaj.org/article/78da419e8b774c31988b114097962a75

Traffic Police 3D Gesture Recognition Based on Spatial–Temporal Fully Adaptive Graph Convolutional Network

Autori: Zheng Fu Junjie Chen Kun Jiang a ďalší

Zdroj: IEEE Transactions on Intelligent Transportation Systems. 24:9518-9531

Attention-based spatial–temporal adaptive dual-graph convolutional network for traffic flow forecasting

Autori: Dawen Xia Bingqi Shen Jian Geng a ďalší

Zdroj: Neural Computing and Applications. 35:17217-17231

ST_AGCNT: Traffic Speed Forecasting Based on Spatial–Temporal Adaptive Graph Convolutional Network with Transformer

Autori: Rongjun Cheng Mengxia Liu Yuanzi Xu

Zdroj: Sustainability. 17:1829

Multi‐stream adaptive spatial‐temporal attention graph convolutional network for skeleton‐based action recognition

Autori: Lubin Yu Lianfang Tian Qiliang Du a ďalší

Zdroj: IET Computer Vision, Vol 16, Iss 2, Pp 143-158 (2022)

Predmety: QA76.75-76.765, topology, image colour analysis, graph theory, image thinning, Computer applications to medicine. Medical informatics, R858-859.7, 0202 electrical engineering, electronic engineering, information engineering, learning (artificial intelligence), Computer software, 02 engineering and technology, image motion analysis

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/cvi2.12075
https://doaj.org/article/dd25806ce8c74c41a43a6f39474d50a6
https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cvi2.12075
http://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cvi2.12075

Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

Autori: Wang, Xing Zhao, Juan Zhu, Lin a ďalší

Zdroj: 2021 IEEE Global Communications Conference (GLOBECOM). :1-7

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 9. Industry and infrastructure, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/pdf/2111.00724
http://arxiv.org/abs/2111.00724

Weighted Three-Stream Spatial-Temporal Graph Convolutional Network Based on Novel Adaptive Skeleton Features

Autori: Pei Jianfeng Bi Sheng

SAST-GCN: Segmentation Adaptive Spatial Temporal-Graph Convolutional Network for P3-Based Video Target Detection

Autori: Runnan Lu Ying Zeng Rongkai Zhang a ďalší

Zdroj: Front Neurosci
Frontiers in Neuroscience, Vol 16 (2022)

Predmety: style-based recalibration module (SRM), 0202 electrical engineering, electronic engineering, information engineering, brain-computer interface (BCI), Neurosciences. Biological psychiatry. Neuropsychiatry, electroencephalography (EEG), P3 detection, 02 engineering and technology, graph convolutional neural networks (GCN), RC321-571, Neuroscience

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35720707
https://doaj.org/article/08fa148f546b4c24af9245a7fa50c4b6

STADGCN: spatial–temporal adaptive dynamic graph convolutional network for traffic flow prediction.

Autori: Shi, Ying Cui, Wentian Wang, Ruiqin a ďalší

Zdroj: Neural Computing & Applications; Jul2025, Vol. 37 Issue 20, p14783-14796, 14p

Predmety: TRAFFIC estimation, FORECASTING, SPACETIME, GRAPH neural networks, CONVOLUTIONAL neural networks

TrafficSCINet: An Adaptive Spatial-Temporal Graph Convolutional Network for Traffic Flow Forecasting

Autori: Kai Gong Shiyuan Han Xiaohui Yang a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9789819947546

Spatial-Temporal Adaptive Graph Convolutional Network for Skeleton-Based Action Recognition

Autori: Rui Hang MinXian Li

Zdroj: Lecture Notes in Computer Science ISBN: 9783031263156

AdpSTGCN: Adaptive spatial–temporal graph convolutional network for traffic forecasting

Autori: Xudong zhang Xuewen Chen Haina Tang a ďalší

Zdroj: Knowledge-Based Systems. 301:112295

Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Prediction

Autori: Enfu Huang Zhanshan Zhao Jiao Yin a ďalší

Zdroj: ACM Transactions on Intelligent Systems and Technology.

Frequency-Aware and Interactive Spatial-Temporal Graph Convolutional Network for Traffic Flow Prediction.

Autori: Teng, Guoqing Wu, Han Wu, Hao a ďalší

Zdroj: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p11254, 21p

Predmety: INTELLIGENT transportation systems, GRAPH neural networks, TRAFFIC estimation, PREDICTIVE validity

Lightweight Long and Short-Range Spatial-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition

Autori: Hongbo Chen Menglei Li Lei Jing a ďalší

Zdroj: IEEE Access, Vol 9, Pp 161374-161382 (2021)

Predmety: Skeleton-based action recognition, non-local block, 0202 electrical engineering, electronic engineering, information engineering, adaptive cross-spacetime edges, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, graph convolution network, fusion inputs, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09631267.pdf
https://doaj.org/article/194b80d6fbda4caabfdbc96194eaafab
http://xplorestaging.ieee.org/ielx7/6287639/6514899/09631267.pdf?arnumber=9631267