Artículos de revistas sobre el tema "Spatio-temporal tasks"
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Zhang, Zijian, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao y Junbo Zhang. "AutoSTL: Automated Spatio-Temporal Multi-Task Learning". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 4 (26 de junio de 2023): 4902–10. http://dx.doi.org/10.1609/aaai.v37i4.25616.
Texto completoZhang, Yitao, Ruiqing Xu, Wangping Lu, Wolfgang Mayer, Da Ning, Yucong Duan, Xi Zeng y Zaiwen Feng. "Multi-Modal Spatio-Temporal Knowledge Graph of Ship Management". Applied Sciences 13, n.º 16 (18 de agosto de 2023): 9393. http://dx.doi.org/10.3390/app13169393.
Texto completoHu, W., S. Winter y K. Khoshelham. "OPTIMIZING URBAN MONITORING BETWEEN STATIONARY, OPPORTUNISTIC VEHICULAR, AND HYBRID SENSING". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W3-2022 (14 de octubre de 2022): 65–72. http://dx.doi.org/10.5194/isprs-annals-x-4-w3-2022-65-2022.
Texto completoLi, X. M., W. X. Wang, S. J. Tang, J. Z. Xia, Z. G. Zhao, Y. Li, Y. Zheng y R. Z. Guo. "A NEW CLOUD-EDGE-TERMINAL RESOURCES COLLABORATIVE SCHEDULING FRAMEWORK FOR MULTI-LEVEL VISUALIZATION TASKS OF LARGE-SCALE SPATIO-TEMPORAL DATA". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (25 de agosto de 2020): 477–83. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-477-2020.
Texto completoFeng, Bin, Qing Zhu, Mingwei Liu, Yun Li, Junxiao Zhang, Xiao Fu, Yan Zhou, Maosu Li, Huagui He y Weijun Yang. "An Efficient Graph-Based Spatio-Temporal Indexing Method for Task-Oriented Multi-Modal Scene Data Organization". ISPRS International Journal of Geo-Information 7, n.º 9 (8 de septiembre de 2018): 371. http://dx.doi.org/10.3390/ijgi7090371.
Texto completoZhang, Yujia, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao y Wing-Yin Yu. "Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 3 (28 de junio de 2022): 3380–89. http://dx.doi.org/10.1609/aaai.v36i3.20248.
Texto completoBaek, Seung-Hwan y Felix Heide. "Polarimetric spatio-temporal light transport probing". ACM Transactions on Graphics 40, n.º 6 (diciembre de 2021): 1–18. http://dx.doi.org/10.1145/3478513.3480517.
Texto completoIkura, Mikihiro, Sarthak Pathak, Jun Younes Louhi Kasahara, Atsushi Yamashita y Hajime Asama. "AdjustSense: Adaptive 3D Sensing System with Adjustable Spatio-Temporal Resolution and Measurement Range Using High-Speed Omnidirectional Camera and Direct Drive Motor". Sensors 21, n.º 21 (21 de octubre de 2021): 6975. http://dx.doi.org/10.3390/s21216975.
Texto completoLi, He, Xuejiao Li, Liangcai Su, Duo Jin, Jianbin Huang y Deshuang Huang. "Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction". ACM Transactions on Intelligent Systems and Technology 13, n.º 2 (30 de abril de 2022): 1–21. http://dx.doi.org/10.1145/3510829.
Texto completoChen, Nanyu, Anran Yang, Luo Chen, Wei Xiong y Ning Jing. "STO2Vec: A Multiscale Spatio-Temporal Object Representation Method for Association Analysis". ISPRS International Journal of Geo-Information 12, n.º 5 (21 de mayo de 2023): 207. http://dx.doi.org/10.3390/ijgi12050207.
Texto completoSchutera, Mark, Stefan Elser, Jochen Abhau, Ralf Mikut y Markus Reischl. "Strategies for supplementing recurrent neural network training for spatio-temporal prediction". at - Automatisierungstechnik 67, n.º 7 (26 de julio de 2019): 545–56. http://dx.doi.org/10.1515/auto-2018-0124.
Texto completoDu, Zexu, Guoliang Zhang, Weijiang Lu, Ting Zhao y Peng Wu. "Spatio-Temporal Transformer for Online Video Understanding". Journal of Physics: Conference Series 2171, n.º 1 (1 de enero de 2022): 012020. http://dx.doi.org/10.1088/1742-6596/2171/1/012020.
Texto completoChoi, Jeongwhan, Hwangyong Choi, Jeehyun Hwang y Noseong Park. "Graph Neural Controlled Differential Equations for Traffic Forecasting". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 6 (28 de junio de 2022): 6367–74. http://dx.doi.org/10.1609/aaai.v36i6.20587.
Texto completoGohel, Bakul y Yong Jeong. "Sensory modality-specific spatio-temporal dynamics in response to counting tasks". Neuroscience Letters 581 (octubre de 2014): 20–25. http://dx.doi.org/10.1016/j.neulet.2014.08.015.
Texto completoGrundmann, Jens, Sebastian Hörning y András Bárdossy. "Stochastic reconstruction of spatio-temporal rainfall patterns by inverse hydrologic modelling". Hydrology and Earth System Sciences 23, n.º 1 (16 de enero de 2019): 225–37. http://dx.doi.org/10.5194/hess-23-225-2019.
Texto completoTrăscău, Mihai, Mihai Nan y Adina Florea. "Spatio-Temporal Features in Action Recognition Using 3D Skeletal Joints". Sensors 19, n.º 2 (21 de enero de 2019): 423. http://dx.doi.org/10.3390/s19020423.
Texto completoGovender, Divina y Jules-Raymond Tapamo. "Spatio-Temporal Scale Coded Bag-of-Words". Sensors 20, n.º 21 (9 de noviembre de 2020): 6380. http://dx.doi.org/10.3390/s20216380.
Texto completoMutis, Ivan y Pavlo Antonenko. "Unmanned aerial vehicles as educational technology systems in construction engineering education". Journal of Information Technology in Construction 27 (28 de marzo de 2022): 273–89. http://dx.doi.org/10.36680/j.itcon.2022.014.
Texto completoKim, Dahun, Donghyeon Cho y In So Kweon. "Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 8545–52. http://dx.doi.org/10.1609/aaai.v33i01.33018545.
Texto completoZheng, Hanle, Yujie Wu, Lei Deng, Yifan Hu y Guoqi Li. "Going Deeper With Directly-Trained Larger Spiking Neural Networks". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 12 (18 de mayo de 2021): 11062–70. http://dx.doi.org/10.1609/aaai.v35i12.17320.
Texto completoSaha, Sangeet, Arnab Sarkar y Amlan Chakrabarti. "Spatio-Temporal Scheduling of Preemptive Real-Time Tasks on Partially Reconfigurable Systems". ACM Transactions on Design Automation of Electronic Systems 22, n.º 4 (22 de julio de 2017): 1–26. http://dx.doi.org/10.1145/3056561.
Texto completoJi, Jiahao, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang y Yu Zheng. "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 4 (26 de junio de 2023): 4356–64. http://dx.doi.org/10.1609/aaai.v37i4.25555.
Texto completoGao, Yuyang, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong y Chaowei Yang. "Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 3638–46. http://dx.doi.org/10.1609/aaai.v33i01.33013638.
Texto completoHaalman, Iris y Eilon Vaadia. "Emergence of Spatio-Temporal Patterns in Neuronal Activity". Zeitschrift für Naturforschung C 53, n.º 7-8 (1 de agosto de 1998): 657–69. http://dx.doi.org/10.1515/znc-1998-7-818.
Texto completoLiu, Zhexiong, Licheng Liu, Yiqun Xie, Zhenong Jin y Xiaowei Jia. "Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 12 (26 de junio de 2023): 14365–73. http://dx.doi.org/10.1609/aaai.v37i12.26680.
Texto completoMoroz, V. M., M. V. Yoltukhivskyy, O. V. Vlasenko, G. S. Moskovko, O. V. Bogomaz, I. L. Rokunets, I. V. Tyshchenko, L. V. Kostyuk y K. V. Suprunov. "Age-related features of walking with cognitive tasks". Biomedical and Biosocial Anthropology, n.º 34 (28 de febrero de 2019): 68–76. http://dx.doi.org/10.31393/bba34-2019-10.
Texto completoKopylova, Oksana A. "INFORMATIVE SIGNS IN TASKS OF RECOGNITION OF TRANSPORT OBJECTS BY NOISE". Interexpo GEO-Siberia 4, n.º 1 (8 de julio de 2020): 57–65. http://dx.doi.org/10.33764/2618-981x-2020-4-1-57-65.
Texto completoLuo, Dezhao, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye y Weiping Wang. "Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 07 (3 de abril de 2020): 11701–8. http://dx.doi.org/10.1609/aaai.v34i07.6840.
Texto completoZhang, Guoxing, Haixiao Wang y Yuanpu Yin. "Multi-type Parameter Prediction of Traffic Flow Based on Time-space Attention Graph Convolutional Network". International Journal of Circuits, Systems and Signal Processing 15 (11 de agosto de 2021): 902–12. http://dx.doi.org/10.46300/9106.2021.15.97.
Texto completoAhmed, Irfan, Indika Kumara, Vahideh Reshadat, A. S. M. Kayes, Willem-Jan van den Heuvel y Damian A. Tamburri. "Travel Time Prediction and Explanation with Spatio-Temporal Features: A Comparative Study". Electronics 11, n.º 1 (29 de diciembre de 2021): 106. http://dx.doi.org/10.3390/electronics11010106.
Texto completoKhoshahval, S., M. Farnaghi y M. Taleai. "SPATIO-TEMPORAL PATTERN MINING ON TRAJECTORY DATA USING ARM". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W4 (27 de septiembre de 2017): 395–99. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w4-395-2017.
Texto completoChen, Bo, Tianyi Hu, Zishen Huang y Chunhui Fang. "A spatio-temporal clustering and diagnosis method for concrete arch dams using deformation monitoring data". Structural Health Monitoring 18, n.º 5-6 (26 de septiembre de 2018): 1355–71. http://dx.doi.org/10.1177/1475921718797949.
Texto completoWu, Jiangnan, Yongmei Zhao, Hongmei Zhang, Gang Hu, Hang Zeng y Song Li. "Spatio-Temporal Traffic Data Tensor Restoration Method Based on Direction Weighting and P-Shrinkage Norm". Mathematical Problems in Engineering 2022 (13 de octubre de 2022): 1–17. http://dx.doi.org/10.1155/2022/3304677.
Texto completoLiu, Hao, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou y Hui Xiong. "Community-Aware Multi-Task Transportation Demand Prediction". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 1 (18 de mayo de 2021): 320–27. http://dx.doi.org/10.1609/aaai.v35i1.16107.
Texto completoFischer, Colin, Monika Sester y Steffen Schön. "Spatio-Temporal Research Data Infrastructure in the Context of Autonomous Driving". ISPRS International Journal of Geo-Information 9, n.º 11 (25 de octubre de 2020): 626. http://dx.doi.org/10.3390/ijgi9110626.
Texto completoOmidvarborna, Hamid, Prashant Kumar, Joe Hayward, Manik Gupta y Erick Giovani Sperandio Nascimento. "Low-Cost Air Quality Sensing towards Smart Homes". Atmosphere 12, n.º 4 (2 de abril de 2021): 453. http://dx.doi.org/10.3390/atmos12040453.
Texto completoZhao, Shanchun y Xu Li. "An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction". Journal of Advanced Transportation 2022 (9 de abril de 2022): 1–17. http://dx.doi.org/10.1155/2022/7682274.
Texto completoZimmer, Hubert D., Harry R. Speiser y Beate Seidler. "Spatio-temporal working-memory and short-term object-location tasks use different memory mechanisms". Acta Psychologica 114, n.º 1 (septiembre de 2003): 41–65. http://dx.doi.org/10.1016/s0001-6918(03)00049-0.
Texto completoGratton, Gabriele, Emily Wee, Elena I. Rykhlevskaia, Echo E. Leaver y Monica Fabiani. "Does White Matter Matter? Spatio-temporal Dynamics of Task Switching in Aging". Journal of Cognitive Neuroscience 21, n.º 7 (julio de 2009): 1380–95. http://dx.doi.org/10.1162/jocn.2009.21093.
Texto completoFranzheva, Olena D. "SPATIAL SYNCHRONIZATION OF CELLULAR AUTOMATA IN EVOLUTIONARY PROCESSES SIMULATION TASKS". Herald of Advanced Information Technology 3, n.º 4 (20 de noviembre de 2020): 217–25. http://dx.doi.org/10.15276/hait.04.2020.1.
Texto completoClarke, Alex, Kirsten I. Taylor y Lorraine K. Tyler. "The Evolution of Meaning: Spatio-temporal Dynamics of Visual Object Recognition". Journal of Cognitive Neuroscience 23, n.º 8 (agosto de 2011): 1887–99. http://dx.doi.org/10.1162/jocn.2010.21544.
Texto completoVanmechelen, Inti, Saranda Bekteshi, Marco Konings, Hilde Feys, Kaat Desloovere, Jean-Marie Aerts y Elegast Monbaliu. "Psychometric properties of upper limb kinematics during functional tasks in children and adolescents with dyskinetic cerebral palsy". PLOS ONE 17, n.º 9 (23 de septiembre de 2022): e0266294. http://dx.doi.org/10.1371/journal.pone.0266294.
Texto completoRusso, Sofia, Giulia Calignano, Marco Dispaldro y Eloisa Valenza. "An Integrated Perspective on Spatio-Temporal Attention and Infant Language Acquisition". International Journal of Environmental Research and Public Health 18, n.º 4 (8 de febrero de 2021): 1592. http://dx.doi.org/10.3390/ijerph18041592.
Texto completoWu, Bo, Xun Liang, Xiangping Zheng y Jun Wang. "Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract)". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 13 (26 de junio de 2023): 16360–61. http://dx.doi.org/10.1609/aaai.v37i13.27040.
Texto completoReyes Leiva, Karla Miriam, Miguel Ángel Cuba Gato y José Javier Serrano Olmedo. "Estimation of Spatio-Temporal Parameters of Gait and Posture of Visually Impaired People Using Wearable Sensors". Sensors 23, n.º 12 (14 de junio de 2023): 5564. http://dx.doi.org/10.3390/s23125564.
Texto completoLi, Jianing, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang y Yonghong Tian. "Retinomorphic Object Detection in Asynchronous Visual Streams". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 2 (28 de junio de 2022): 1332–40. http://dx.doi.org/10.1609/aaai.v36i2.20021.
Texto completoWang, Yong, Guoliang Li, Kaiyu Li y Haitao Yuan. "A Deep Generative Model for Trajectory Modeling and Utilization". Proceedings of the VLDB Endowment 16, n.º 4 (diciembre de 2022): 973–85. http://dx.doi.org/10.14778/3574245.3574277.
Texto completoCherian, Anoop, Chiori Hori, Tim K. Marks y Jonathan Le Roux. "(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 1 (28 de junio de 2022): 444–53. http://dx.doi.org/10.1609/aaai.v36i1.19922.
Texto completoZheng, Chuanpan, Xiaoliang Fan, Cheng Wang y Jianzhong Qi. "GMAN: A Graph Multi-Attention Network for Traffic Prediction". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 01 (3 de abril de 2020): 1234–41. http://dx.doi.org/10.1609/aaai.v34i01.5477.
Texto completoZhang, Jing, Qian Ding, Biao Li y Xiucai Ye. "Bidirectional k-nearest neighbor spatial crowdsourcing allocation protocol based on edge computing". PeerJ Computer Science 9 (20 de febrero de 2023): e1244. http://dx.doi.org/10.7717/peerj-cs.1244.
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