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