Search Results - Temporal graph convolutional autoencoder
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1
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Source: 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). :1-6
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Source: Neurocomputing. 490:482-494
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Spatio-Temporal Graph Convolutional Autoencoder for Transonic Wing Pressure Distribution Forecasting
Authors: et al.
Source: Aerospace Science and Technology. 165:110516
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Spatio-temporal graph convolutional autoencoder for transonic wing pressure distribution forecasting
Authors: et al.
File Description: text
Relation: https://eprints.soton.ac.uk/504263/1/1-s2.0-S1270963825005875-main.pdf; Immordino, Gabriele, Vaiuso, Andrea, Da Ronch, Andrea and Righi, Marcello (2025) Spatio-temporal graph convolutional autoencoder for transonic wing pressure distribution forecasting. Aerospace Science and Technology, 165, [110516]. (doi:10.1016/j.ast.2025.110516 ).
Availability: https://eprints.soton.ac.uk/504263/
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Source: IET Computer Vision, Vol 18, Iss 3, Pp 405-419 (2024)
Subject Terms: computer vision, convolutional neural nets, feature extraction, pose estimation, video surveillance, Computer applications to medicine. Medical informatics, R858-859.7, Computer software, QA76.75-76.765
File Description: electronic resource
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Authors: et al.
Source: Lecture Notes in Computer Science ISBN: 9783031189128
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Subject Terms: Human-Computer Interaction, FOS: Computer and information sciences, Human-Computer Interaction (cs.HC)
Access URL: http://arxiv.org/abs/2509.05943
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Source: Sensors (14248220); Jul2025, Vol. 25 Issue 13, p3894, 19p
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Authors: et al.
Contributors: et al.
Relation: https://zenodo.org/records/17129717; oai:zenodo.org:17129717; https://doi.org/10.5281/zenodo.17129717
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Authors: et al.
Source: Processes; Nov2025, Vol. 13 Issue 11, p3751, 22p
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Authors: et al.
Source: Journal of Advanced Transportation; 8/23/2025, Vol. 2025, p1-18, 18p
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Authors: et al.
Source: Complex & Intelligent Systems; Oct2025, Vol. 11 Issue 10, p1-28, 28p
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Authors: et al.
Source: IEEE Transactions on Neural Networks and Learning Systems. 33(5):9524-9537
Subject Terms: Diffusion process, graph neural networks (GNNs), spatiotemporal forecasting, variational graph autoencoders (VGAEs)
File Description: print
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Authors: et al.
Source: Energies (19961073); Jul2025, Vol. 18 Issue 14, p3824, 18p
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Source: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 24, p11477, 18p
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Alternate Title: Traffic accident prediction based on multi-head attention spatio-temporal graph convolutional network. (English)
Authors:
Source: Journal of Shanghai University / Shanghai Daxue Xuebao; Aug2025, Vol. 31 Issue 4, p678-690, 13p
Subject Terms: SPATIAL ability, TRAFFIC accidents
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Source: Journal of Advanced Computational Intelligence & Intelligent Informatics. May2025, Vol. 29 Issue 3, p659-667. 9p.
Subject Terms: *AUTOENCODERS, *TRANSFORMER models, *SCARCITY, *VIDEOS, *CLASSIFICATION
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Source: IET Computer Vision (Wiley-Blackwell); Apr2024, Vol. 18 Issue 3, p405-419, 15p
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Authors: et al.
Source: Journal of Transport and Land Use, Vol 17, Iss 1 (2024)
Subject Terms: Transportation engineering, Keywords: Traffic demand prediction, Similarity-based Principle, Spatio-temporal Graph Convolutional Neural Network model, activity-based geographic information, prediction of bicycle sharing ridership, TA1001-1280, 0502 economics and business, 05 social sciences, Transportation and communications, HE1-9990
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Authors: et al.
Source: Proceedings of the AAAI Conference on Artificial Intelligence. 34:1342-1350
Subject Terms: FOS: Computer and information sciences, Computer Science - Robotics, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Robotics (cs.RO)
Access URL: https://ojs.aaai.org/index.php/AAAI/article/download/5490/5346
http://arxiv.org/abs/1910.12906
https://arxiv.org/abs/1910.12906
http://ui.adsabs.harvard.edu/abs/2019arXiv191012906B/abstract
http://export.arxiv.org/pdf/1910.12906
https://arxiv.org/abs/1910.12906
https://dblp.uni-trier.de/db/conf/aaai/aaai2020.html#BhattacharyaMCR20
https://arxiv.org/pdf/1910.12906.pdf
http://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-12906
https://ojs.aaai.org/index.php/AAAI/article/view/5490
https://aaai.org/ojs/index.php/AAAI/article/view/5490
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