Literatura académica sobre el tema "Spatio-temporal tasks"
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Artículos de revistas sobre el tema "Spatio-temporal tasks"
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 completoTesis sobre el tema "Spatio-temporal tasks"
Misra, Navendu. "Comparison of motor-based versus visual sensory representations in object recognition tasks". Texas A&M University, 2005. http://hdl.handle.net/1969.1/2544.
Texto completoChen, Yuanyuan. "The modulation of spatio-temporal brain dynamics in visual word recognition by psycholinguistic variables and tasks studies using EEG/MEG and fMRI". Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607863.
Texto completoGriggs, David. "Aging and Spatio-temporal Vision: Effects of Blur on Localization Task Performance". TopSCHOLAR®, 1987. http://digitalcommons.wku.edu/theses/1997.
Texto completoDutia, Dharini. "Multi-Robot Task Allocation and Scheduling with Spatio-Temporal and Energy Constraints". Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-theses/1298.
Texto completoMarton, Zoltan-Csaba [Verfasser], Michael [Akademischer Betreuer] Beetz y Darius [Akademischer Betreuer] Burschka. "Multi-cue Perception for Robotic Object Manipulation : How Spatio-temporal Integration of Multi-modal Information Aids Task Execution / Zoltan-Csaba Marton. Gutachter: Michael Beetz ; Darius Burschka. Betreuer: Michael Beetz". München : Universitätsbibliothek der TU München, 2014. http://d-nb.info/1070639028/34.
Texto completoHossain, Mohammad Zahid. "FlockViz: A Visualization Technique to Facilitate Multi-dimensional Analytics of Spatio-temporal Cluster Data". 2014. http://hdl.handle.net/1993/23591.
Texto completoHsiao-ChiehPan y 潘曉潔. "The effect of spatio-temporal task constraints on reaching performance in patients with stroke". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/t8t4vx.
Texto completo國立成功大學
職能治療學系
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SUNMMARY The purpose of this research was to examine the effect of spatio-temporal task constraints on reaching performance in patients with stroke. This project utilized repeated-measures design and kinematic analysis. We included 20 stroke patients and 20 age-matched controls. All participants were instructed to reach balls under three conditions with different spatio-temporal constraints: dropping ball, moving ball, and stationary ball. Their motor performance was recorded for kinematic analysis. Our results revealed that stroke group could move their hemiparetic arm with shorter reaction time and movement time, and higher peak velocity under the moving ball condition than the dropping and stationary ball conditions. These findings give new ideas for developing intervention strategies to facilitate better performance of stroke patients, and extend the application in therapeutic activities by giving tasks with spatio-temporal constraints. Key Words: stroke, task constraint, reaching, kinematic analysis
Zeman, Philip Michael. "Feasibility of Multi-Component Spatio-Temporal Modeling of Cognitively Generated EEG Data and its Potential Application to Research in Functional Anatomy and Clinical Neuropathology". Thesis, 2009. http://hdl.handle.net/1828/5010.
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0622
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Nayak, Akshata. "A pilot study: Effect of a novel dual-task treadmill walking program on balance, mobility, gaze and cognition in community dwelling older adults". 2015. http://hdl.handle.net/1993/30691.
Texto completoOctober 2015
Libros sobre el tema "Spatio-temporal tasks"
DiFrisco, James. Biological Processes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198779636.003.0004.
Texto completoCapítulos de libros sobre el tema "Spatio-temporal tasks"
Filatov, Valentin y Andriy Kovalenko. "Fuzzy Systems in Data Mining Tasks". En Advances in Spatio-Temporal Segmentation of Visual Data, 243–74. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35480-0_6.
Texto completoSao, Ashutosh, Simon Gottschalk, Nicolas Tempelmeier y Elena Demidova. "MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across Cities and Tasks". En Advances in Knowledge Discovery and Data Mining, 70–82. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33383-5_6.
Texto completoFrisone, F., P. G. Morasso, G. Iannò, M. Marongiu, P. Vitali y G. Rodriguez. "Spatio-temporal cortical activity patterns in cognitive tasks using fMRI". En Perspectives in Neural Computing, 126–31. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0811-5_10.
Texto completoBosveld-de Smet, Leonie y Daniël Houben. "Map or Gantt? Which Diagram Helps Viewers Best in Spatio-Temporal Data Exploration Tasks?" En Diagrammatic Representation and Inference, 357–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54249-8_28.
Texto completoRamo, Mirco y Guénolé C. M. Silvestre. "A Transformer Architecture for Online Gesture Recognition of Mathematical Expressions". En Communications in Computer and Information Science, 55–67. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_5.
Texto completoZhu, Chen, Yue Cui, Yan Zhao y Kai Zheng. "Task Assignment with Spatio-temporal Recommendation in Spatial Crowdsourcing". En Web and Big Data, 264–79. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25158-0_21.
Texto completoJiang, Mingxin, Shimin Yang, Zhongbo Zhao, Jiadong Yan, Yuzhong Chen, Tuo Zhang, Shu Zhang, Benjamin Becker, Keith M. Kendrick y Xi Jiang. "Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks". En Machine Learning in Medical Imaging, 130–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87589-3_14.
Texto completoVafaeinezhad, Ali Reza, Ali Asghar Alesheikh, Majid Hamrah, Reza Nourjou y Rouzbeh Shad. "Using GIS to Develop an Efficient Spatio-temporal Task Allocation Algorithm to Human Groups in an Entirely Dynamic Environment Case Study: Earthquake Rescue Teams". En Computational Science and Its Applications – ICCSA 2009, 66–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02454-2_5.
Texto completoAhmed, Khadeer. "Brain-Inspired Spiking Neural Networks". En Biomimetics [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.93435.
Texto completoNanni, Mirco, Roberto Trasarti, Paolo Cintia, Barbara Furletti, Chiara Renso, Lorenzo Gabrielli, Salvatore Rinzivillo y Fosca Giannotti. "Mobility Profiling". En Data Science and Simulation in Transportation Research, 1–29. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4920-0.ch001.
Texto completoActas de conferencias sobre el tema "Spatio-temporal tasks"
Glake, Daniel, Mareike Schmidt, Felix Kiehn, Fabian Panse, Ulfia Lenfers, Thomas Clemen y Norbert Ritter. "Operator Placement for Spatio-temporal Tasks". En 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020279.
Texto completoXu, Jia, Chengcheng Guan, Haipeng Dai, Dejun Yang, Lijie Xu y Jianyi Kai. "Incentive Mechanisms for Spatio-Temporal Tasks in Mobile Crowdsensing". En 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2019. http://dx.doi.org/10.1109/mass.2019.00016.
Texto completoSaha, Sujan Kumar, Yecheng Xiang y Hyoseung Kim. "STGM: Spatio-Temporal GPU Management for Real-Time Tasks". En 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 2019. http://dx.doi.org/10.1109/rtcsa.2019.8864564.
Texto completoWang, Leye, Xu Geng, Xiaojuan Ma, Feng Liu y Qiang Yang. "Cross-City Transfer Learning for Deep Spatio-Temporal Prediction". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/262.
Texto completoNaji, Yassine, Aleksandr Setkov, Angelique Loesch, Michele Gouiffes y Romaric Audigier. "Spatio-temporal predictive tasks for abnormal event detection in videos". En 2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2022. http://dx.doi.org/10.1109/avss56176.2022.9959669.
Texto completoXia, Jinfu, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang y Kai Zheng. "Profit-driven Task Assignment in Spatial Crowdsourcing". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/265.
Texto completoFang, Ziquan, Dongen Wu, Lu Pan, Lu Chen y Yunjun Gao. "When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters". En Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/282.
Texto completoGuan, Jiazhi y Dongyao Shen. "Transfer Spatio-Temporal Knowledge from Emotion-Related Tasks for Facial Expression Spotting". En MM '21: ACM Multimedia Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3476100.3484461.
Texto completoHirel, Julien, Philippe Gaussier y Mathias Quoy. "Biologically inspired neural networks for spatio-temporal planning in robotic navigation tasks". En 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2011. http://dx.doi.org/10.1109/robio.2011.6181522.
Texto completoBassem, Christine. "Mobility Coordination of Participants in Mobile CrowdSensing Platforms with Spatio-Temporal Tasks". En the 17th ACM International Symposium. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3345770.3356734.
Texto completoInformes sobre el tema "Spatio-temporal tasks"
Beck, Tanya y Ping Wang. Morphodynamics of barrier-inlet systems in the context of regional sediment management, with case studies from West-Central Florida, USA. Engineer Research and Development Center (U.S.), septiembre de 2021. http://dx.doi.org/10.21079/11681/41984.
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