المؤلفون: Tuxiang Lin, Rongliang Lin

المصدر: IEEE Access, Vol 13, Pp 15062-15078 (2025)

مصطلحات موضوعية: Long short-term memory (LSTM), intelligent transportation systems, proximal policy optimization (PPO), spatio-temporal graph convolutional networks (STGCN), traffic flow prediction, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10806681/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/4456b53d02ed419b98a6a07b08e19efb

المؤلفون: Lina Zhang, Bin Zhao, Chunming He, Fan Yang, Jue Zhang

المصدر: Journal of Applied Animal Research, Vol 52, Iss 1, Pp 1-13 (2024)

مصطلحات موضوعية: Semi-housed sheep, behaviour recognition, spatio-temporal graph convolutional network, target detection with YOLOv5, posture estimation with alpha pose, Veterinary medicine, SF600-1100

وصف الملف: electronic resource

Relation: https://doaj.org/toc/0971-2119; https://doaj.org/toc/0974-1844

URL الوصول: https://doaj.org/article/c1783559f86a429ebba2c7dfb005b5f7

المؤلفون: WANG Runqi, HAO Yanxi, HU Hua, FANG Yong, LIU Zhigang

المصدر: Chengshi guidao jiaotong yanjiu, Vol 27, Iss 9, Pp 91-96 (2024)

مصطلحات موضوعية: urban rail transit, short term inbound passenger flow prediction, spatio-temporal correlation, spatio-temporal graph convolutional neural network, Transportation engineering, TA1001-1280

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1007-869X

URL الوصول: https://doaj.org/article/236a2b0de040444cbd3c121c42055c5d

المؤلفون: Muhammad Tahir Naseem, Na-Hyun Kim, Haneol Seo, JaeMok Lee, Chul-Min Chung, Sunghoon Shin, Chan-Su Lee

المصدر: Frontiers in Public Health, Vol 12 (2024)

مصطلحات موضوعية: sarcopenia, deep learning, convolutional neural network, spatio-temporal graph convolutional networks, foot pressure, skeleton, Public aspects of medicine, RA1-1270

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpubh.2024.1443188/full; https://doaj.org/toc/2296-2565

URL الوصول: https://doaj.org/article/1794efa9a79d4bd79e12384e5a667f7c

المؤلفون: Dinh Viet Cuong, Vuong M. Ngo, Paolo Cappellari, Mark Roantree

المصدر: IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 115-131 (2024)

مصطلحات موضوعية: Spatio-temporal graph analysis, smart city, transport networks, Transportation engineering, TA1001-1280, Transportation and communications, HE1-9990

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10382155/; https://doaj.org/toc/2687-7813

URL الوصول: https://doaj.org/article/737e8ae8afa34af8bd7d6f67a69ffb2c

المؤلفون: Siwei Wei, Yanan Song, Donghua Liu, Sichen Shen, Rong Gao, Chunzhi Wang

المصدر: Inventions, Vol 9, Iss 5, p 102 (2024)

مصطلحات موضوعية: dynamic spatio-temporal graph, regional graph, self-supervised learning, clustering, traffic flow forecasting, Engineering machinery, tools, and implements, TA213-215, Technological innovations. Automation, HD45-45.2

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2411-5134/9/5/102; https://doaj.org/toc/2411-5134

URL الوصول: https://doaj.org/article/cf80a0cd7eab49b49aee047e95647490

المؤلفون: Ridouan, Aafaf, Bohi, Amine, Mourchid, Youssef

المساهمون: Laboratoire d'Innovation Numérique pour les Entreprises et les Apprentissages au service de la Compétitivité des Territoires (LINEACT), CESI : groupe d’Enseignement Supérieur et de Formation Professionnelle (CESI), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), SPIE

المصدر: 18th International Conference on Machine Vision (ICMV 2025)
https://hal.science/hal-04863116
18th International Conference on Machine Vision (ICMV 2025), Nov 2024, Edimbourg (Ecosse), United Kingdom
https://icmv.org/index.html

مصطلحات موضوعية: Pain assessment, Facial expressions, Landmarks, Deep learning, Convolutional neural networks, Long Short-Term Memory (LSTM), Spatio-Temporal Graph Convolution Network (STGCN), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]

جغرافية الموضوع: Edimbourg (Ecosse), United Kingdom

الاتاحة: https://hal.science/hal-04863116
https://hal.science/hal-04863116v1/document
https://hal.science/hal-04863116v1/file/130721C.pdf

المؤلفون: Maedeh Nasri, Mitra Baratchi, Yung-Ting Tsou, Sarah Giest, Alexander Koutamanis, Carolien Rieffe

المصدر: Applied Network Science, Vol 8, Iss 1, Pp 1-24 (2023)

مصطلحات موضوعية: Spatio-temporal graph, Wearables, Social network, Applied mathematics. Quantitative methods, T57-57.97

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2364-8228

URL الوصول: https://doaj.org/article/4d0d40e388b3411bb643a0e557332b78

المؤلفون: Seung Bae Jeon, Myeong-Hun Jeong

المصدر: Applied Sciences, Vol 14, Iss 14, p 6102 (2024)

مصطلحات موضوعية: traffic speed prediction, spatio-temporal graph convolutional networks, road network analysis, hybrid model, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/14/6102; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/70914331d38345e7b3d87b9cc24ef4c2

المؤلفون: Shunli Deng, Shuangxi Cui, Anchen Xu

المصدر: Energies, Vol 17, Iss 14, p 3557 (2024)

مصطلحات موضوعية: regional photovoltaic power prediction, meteorological encryption, spatio-temporal graph networks, dual-layer attention mechanism, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/14/3557; https://doaj.org/toc/1996-1073

URL الوصول: https://doaj.org/article/d383c92c47a2479f8fae120f9c8badce

المؤلفون: Dexu Meng, Guangzhe Zhao, Feihu Yan

المصدر: Information, Vol 15, Iss 6, p 341 (2024)

مصطلحات موضوعية: pedestrian trajectory prediction, spatio-temporal graph, multi-layer perceptron, interaction, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2078-2489/15/6/341; https://doaj.org/toc/2078-2489

URL الوصول: https://doaj.org/article/2684a53b581049dd8f057779575e2412

المؤلفون: Jiahui Zhao, Zhibin Li, Pan Liu, Mingye Zhang

المصدر: Journal of Transport and Land Use, Vol 17, Iss 1 (2024)

مصطلحات موضوعية: Traffic demand prediction, Similarity-based Principle, Spatio-temporal Graph Convolutional Neural Network model, activity-based geographic information, prediction of bicycle sharing ridership., Transportation engineering, TA1001-1280, Transportation and communications, HE1-9990

وصف الملف: electronic resource

Relation: https://www.jtlu.org/index.php/jtlu/article/view/2348; https://doaj.org/toc/1938-7849

URL الوصول: https://doaj.org/article/912c74dba63f4108b6301fb6d75dafd7

المؤلفون: Li Ke

المصدر: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)

مصطلحات موضوعية: digital dance movement recognition, human skeletal information, spatio-temporal graph convolutional network, movement correction, 97q70, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2444-8656

URL الوصول: https://doaj.org/article/5ec22de0f4fb48eca3ace2f9a8905535

المؤلفون: Ding, Dong, Wang, Shanshan, Chang, Xiangpeng

المصدر: International Journal of Interactive Mobile Technologies (iJIM); Vol. 18 No. 17 (2024); pp. 17-30 ; 1865-7923

مصطلحات موضوعية: intelligent tourism, personalized itinerary planning, mobile technology, spatio-temporal graph convolutional network, attention mechanism, spatial node embedding vectors, travel itinerary optimization

وصف الملف: application/pdf

Relation: http://online-journals.org/index.php/i-jim/article/view/51109/15297; http://online-journals.org/index.php/i-jim/article/view/51109

الاتاحة: http://online-journals.org/index.php/i-jim/article/view/51109

المؤلفون: Verdone A., Scardapane S., Panella M.

المساهمون: Verdone, A., Scardapane, S., Panella, M.

مصطلحات موضوعية: explainability, renewable energy source, smart grid, spatio-temporal graph neural network, time series forecasting

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001102802800001; volume:353; firstpage:1; lastpage:13; numberofpages:13; journal:APPLIED ENERGY; https://hdl.handle.net/11573/1693989; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85175323427

الاتاحة: https://hdl.handle.net/11573/1693989
https://doi.org/10.1016/j.apenergy.2023.122151

المؤلفون: Ye Mingzhi

المصدر: International Journal for Simulation and Multidisciplinary Design Optimization, Vol 15, p 9 (2024)

مصطلحات موضوعية: spatio-temporal graph, cnn, video analysis, action recognition, attitude estimation, skeleton model, ai, modelling, Industrial engineering. Management engineering, T55.4-60.8, Industrial directories, T11.95-12.5

Relation: https://www.ijsmdo.org/articles/smdo/full_html/2024/01/smdo230051/smdo230051.html; https://doaj.org/toc/1779-6288; https://doaj.org/article/2d31bc45778941b4a8094ae13f3acd86

الاتاحة: https://doi.org/10.1051/smdo/2024004
https://doaj.org/article/2d31bc45778941b4a8094ae13f3acd86

المؤلفون: Ran Zhang, Xiaohui Chen, Lin Ye, Wentao Yu, Bing Zhang, Junnan Liu

المصدر: Applied Sciences, Vol 14, Iss 10, p 4104 (2024)

مصطلحات موضوعية: ais, trajectory prediction, attention mechanism, spatio-temporal graph convolution, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/10/4104; https://doaj.org/toc/2076-3417; https://doaj.org/article/c38762615d034029bcfaca9e3c9c9634

الاتاحة: https://doi.org/10.3390/app14104104
https://doaj.org/article/c38762615d034029bcfaca9e3c9c9634

المؤلفون: Zhiming Gui, Xin Wang, Wenzheng Li

المصدر: ISPRS International Journal of Geo-Information, Vol 13, Iss 6, p 172 (2024)

مصطلحات موضوعية: vehicle trajectory prediction, memory-enhanced spatio-temporal graph network, long short-term memory network, Seq2Seq encoder–decoder, Geography (General), G1-922

Relation: https://www.mdpi.com/2220-9964/13/6/172; https://doaj.org/toc/2220-9964; https://doaj.org/article/c5d2e1a513af4521b1a1528e7df4109a

الاتاحة: https://doi.org/10.3390/ijgi13060172
https://doaj.org/article/c5d2e1a513af4521b1a1528e7df4109a

المؤلفون: V. Maxime Croft, Senna C. J. L. van Iersel, Cosimo Della Santina

المصدر: Frontiers in Physics, Vol 11 (2023)

مصطلحات موضوعية: epidemic prediction, deep learning, spatio-temporal graph neural networks, real world evidence, COVID-19, Physics, QC1-999

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphy.2023.1277052/full; https://doaj.org/toc/2296-424X

URL الوصول: https://doaj.org/article/932628fcaaed40848863f18bb406ff37

المؤلفون: Mourchid, Youssef, Slama, Rim

المساهمون: Laboratoire d'Innovation Numérique pour les Entreprises et les Apprentissages au service de la Compétitivité des Territoires (LINEACT), CESI : groupe d’Enseignement Supérieur et de Formation Professionnelle (CESI), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)

المصدر: 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)
https://hal.science/hal-04538066
2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), Sep 2023, Poitiers, France. pp.1-6, ⟨10.1109/MMSP59012.2023.10337711⟩

مصطلحات موضوعية: Automatic assessment Rehabilitation Spatio-Temporal Graph convolution networks Attention mechanism, Automatic assessment, Rehabilitation, Spatio-Temporal, Graph convolution networks, Attention mechanism, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

جغرافية الموضوع: Poitiers, France

الاتاحة: https://hal.science/hal-04538066
https://hal.science/hal-04538066v1/document
https://hal.science/hal-04538066v1/file/Mourchid_MR-STGN.pdf
https://doi.org/10.1109/MMSP59012.2023.10337711