Статті в журналах з теми "Spatiotemporal forecasting"
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Li, Cheng, Weimin Zheng, and Peng Ge. "Tourism demand forecasting with spatiotemporal features." Annals of Tourism Research 94 (May 2022): 103384. http://dx.doi.org/10.1016/j.annals.2022.103384.
Повний текст джерелаLin, Xu, Hongyue Wang, Qingqing Zhang, Chaolong Yao, Changxin Chen, Lin Cheng, and Zhaoxiong Li. "A Spatiotemporal Network Model for Global Ionospheric TEC Forecasting." Remote Sensing 14, no. 7 (April 2, 2022): 1717. http://dx.doi.org/10.3390/rs14071717.
Повний текст джерелаOliveira, Mariana, Luís Torgo, and Vítor Santos Costa. "Evaluation Procedures for Forecasting with Spatiotemporal Data." Mathematics 9, no. 6 (March 23, 2021): 691. http://dx.doi.org/10.3390/math9060691.
Повний текст джерелаPavlyuk, Dmitry. "Temporal Aggregation Effects in Spatiotemporal Traffic Modelling." Sensors 20, no. 23 (December 4, 2020): 6931. http://dx.doi.org/10.3390/s20236931.
Повний текст джерелаMuñoz-Organero, Mario, and Paula Queipo-Álvarez. "Deep Spatiotemporal Model for COVID-19 Forecasting." Sensors 22, no. 9 (May 5, 2022): 3519. http://dx.doi.org/10.3390/s22093519.
Повний текст джерела., V. Nourani, A. A. Moghaddam ., A. O. Nadiri ., and V. P. Singh . "Forecasting Spatiotemporal Water Levels of Tabriz Aquifer." Trends in Applied Sciences Research 3, no. 4 (April 1, 2008): 319–29. http://dx.doi.org/10.3923/tasr.2008.319.329.
Повний текст джерелаLópez, Cristóbal, Alberto Álvarez, and Emilio Hernández-García. "Forecasting Confined Spatiotemporal Chaos with Genetic Algorithms." Physical Review Letters 85, no. 11 (September 11, 2000): 2300–2303. http://dx.doi.org/10.1103/physrevlett.85.2300.
Повний текст джерелаErmagun, Alireza, and David Levinson. "Spatiotemporal traffic forecasting: review and proposed directions." Transport Reviews 38, no. 6 (March 6, 2018): 786–814. http://dx.doi.org/10.1080/01441647.2018.1442887.
Повний текст джерелаPavlyuk. "Transfer Learning: Video Prediction and Spatiotemporal Urban Traffic Forecasting." Algorithms 13, no. 2 (February 13, 2020): 39. http://dx.doi.org/10.3390/a13020039.
Повний текст джерелаXiong, Liyan, Weihua Ding, Xiaohui Huang, and Weichun Huang. "CLSTAN: ConvLSTM-Based Spatiotemporal Attention Network for Traffic Flow Forecasting." Mathematical Problems in Engineering 2022 (July 11, 2022): 1–13. http://dx.doi.org/10.1155/2022/1604727.
Повний текст джерелаPrestemon, Jeffrey P., María L. Chas-Amil, Julia M. Touza, and Scott L. Goodrick. "Forecasting intentional wildfires using temporal and spatiotemporal autocorrelations." International Journal of Wildland Fire 21, no. 6 (2012): 743. http://dx.doi.org/10.1071/wf11049.
Повний текст джерелаPavlyuk, Dmitry. "Spatiotemporal cross-validation of urban traffic forecasting models." Transportation Research Procedia 52 (2021): 179–86. http://dx.doi.org/10.1016/j.trpro.2021.01.020.
Повний текст джерелаKaboudan, M. A. "SPATIOTEMPORAL FORECASTING OF HOME PRICES: A GIS APPLICATION." IFAC Proceedings Volumes 38, no. 1 (2005): 95–99. http://dx.doi.org/10.3182/20050703-6-cz-1902.02251.
Повний текст джерелаDirector, Hannah M., Adrian E. Raftery, and Cecilia M. Bitz. "Improved Sea Ice Forecasting through Spatiotemporal Bias Correction." Journal of Climate 30, no. 23 (December 2017): 9493–510. http://dx.doi.org/10.1175/jcli-d-17-0185.1.
Повний текст джерелаChai, Songjian, Zhao Xu, Youwei Jia, and Wai Kin Wong. "A Robust Spatiotemporal Forecasting Framework for Photovoltaic Generation." IEEE Transactions on Smart Grid 11, no. 6 (November 2020): 5370–82. http://dx.doi.org/10.1109/tsg.2020.3006085.
Повний текст джерелаLenzi, Amanda, and Marc G. Genton. "Spatiotemporal probabilistic wind vector forecasting over Saudi Arabia." Annals of Applied Statistics 14, no. 3 (September 2020): 1359–78. http://dx.doi.org/10.1214/20-aoas1347.
Повний текст джерелаJiao, Xiaoying, Gang Li, and Jason Li Chen. "Forecasting international tourism demand: a local spatiotemporal model." Annals of Tourism Research 83 (July 2020): 102937. http://dx.doi.org/10.1016/j.annals.2020.102937.
Повний текст джерелаAbirami, S., and P. Chitra. "Regional air quality forecasting using spatiotemporal deep learning." Journal of Cleaner Production 283 (February 2021): 125341. http://dx.doi.org/10.1016/j.jclepro.2020.125341.
Повний текст джерелаYou, Yujie, Le Zhang, Peng Tao, Suran Liu, and Luonan Chen. "Spatiotemporal Transformer Neural Network for Time-Series Forecasting." Entropy 24, no. 11 (November 14, 2022): 1651. http://dx.doi.org/10.3390/e24111651.
Повний текст джерелаWang, Yi, and Changfeng Jing. "Spatiotemporal Graph Convolutional Network for Multi-Scale Traffic Forecasting." ISPRS International Journal of Geo-Information 11, no. 2 (February 1, 2022): 102. http://dx.doi.org/10.3390/ijgi11020102.
Повний текст джерелаOh, Myeongchan, Chang Ki Kim, Boyoung Kim, Changyeol Yun, Yong-Heack Kang, and Hyun-Goo Kim. "Spatiotemporal Optimization for Short-Term Solar Forecasting Based on Satellite Imagery." Energies 14, no. 8 (April 15, 2021): 2216. http://dx.doi.org/10.3390/en14082216.
Повний текст джерелаHe, Zichao, Chunna Zhao, and Yaqun Huang. "Multivariate Time Series Deep Spatiotemporal Forecasting with Graph Neural Network." Applied Sciences 12, no. 11 (June 5, 2022): 5731. http://dx.doi.org/10.3390/app12115731.
Повний текст джерелаKarimi, Ahmad Maroof, Yinghui Wu, Mehmet Koyuturk, and Roger H. French. "Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (May 18, 2021): 15323–30. http://dx.doi.org/10.1609/aaai.v35i17.17799.
Повний текст джерелаGeng, Liangchao, Huantong Geng, Jinzhong Min, Xiaoran Zhuang, and Yu Zheng. "AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and Residual Spatiotemporal Feature Extraction." Remote Sensing 14, no. 20 (October 12, 2022): 5106. http://dx.doi.org/10.3390/rs14205106.
Повний текст джерелаGeng, Xu, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, and Yan Liu. "Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3656–63. http://dx.doi.org/10.1609/aaai.v33i01.33013656.
Повний текст джерелаHalim, Calvin Janitra, and Kazuhiko Kawamoto. "2D Convolutional Neural Markov Models for Spatiotemporal Sequence Forecasting." Sensors 20, no. 15 (July 28, 2020): 4195. http://dx.doi.org/10.3390/s20154195.
Повний текст джерелаDu, Liufeng, Linghua Zhang, and Xu Wang. "Spatiotemporal Feature Learning Based Hour-Ahead Load Forecasting for Energy Internet." Electronics 9, no. 1 (January 20, 2020): 196. http://dx.doi.org/10.3390/electronics9010196.
Повний текст джерелаZhang, Chaoyun, Marco Fiore, Iain Murray, and Paul Patras. "CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (May 18, 2021): 10851–58. http://dx.doi.org/10.1609/aaai.v35i12.17296.
Повний текст джерелаAlghamdi, Taghreed, Khalid Elgazzar, and Taysseer Sharaf. "Spatiotemporal Traffic Prediction Using Hierarchical Bayesian Modeling." Future Internet 13, no. 9 (August 30, 2021): 225. http://dx.doi.org/10.3390/fi13090225.
Повний текст джерелаJiao, Xiaoying, Jason Li Chen, and Gang Li. "Forecasting tourism demand: Developing a general nesting spatiotemporal model." Annals of Tourism Research 90 (September 2021): 103277. http://dx.doi.org/10.1016/j.annals.2021.103277.
Повний текст джерелаBulanadi, Jehan, Gilbert Tumibay, and Mary Ann Quioc. "Spatiotemporal Data Analysis and Forecasting Model for Forestland Rehabilitation." International Journal of Computing Sciences Research 3, no. 4 (December 1, 2019): 229–45. http://dx.doi.org/10.25147/ijcsr.2017.001.1.36.
Повний текст джерелаZhou, Fan, Qing Yang, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Ashfaq Khokhar. "Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting." IEEE Internet of Things Journal 7, no. 7 (July 2020): 6414–28. http://dx.doi.org/10.1109/jiot.2020.2974494.
Повний текст джерелаYue, Yang, and Anthony Gar-On Yeh. "Spatiotemporal traffic-flow dependency and short-term traffic forecasting." Environment and Planning B: Planning and Design 35, no. 5 (2008): 762–71. http://dx.doi.org/10.1068/b33090.
Повний текст джерелаNourani, Vahid, Asghar Asghari Mogaddam, and Ata Ollah Nadiri. "An ANN-based model for spatiotemporal groundwater level forecasting." Hydrological Processes 22, no. 26 (December 30, 2008): 5054–66. http://dx.doi.org/10.1002/hyp.7129.
Повний текст джерелаMcDermott, Patrick L., Christopher K. Wikle, and Joshua Millspaugh. "A hierarchical spatiotemporal analog forecasting model for count data." Ecology and Evolution 8, no. 1 (December 7, 2017): 790–800. http://dx.doi.org/10.1002/ece3.3621.
Повний текст джерелаAcquah, Moses Amoasi, Yuwei Jin, Byeong-Chan Oh, Yeong-Geon Son, and Sung-Yul Kim. "Spatiotemporal Sequence-to-Sequence Clustering for Electric Load Forecasting." IEEE Access 11 (2023): 5850–63. http://dx.doi.org/10.1109/access.2023.3235724.
Повний текст джерелаYu, Fanhua, Huibowen Hao, and Qingliang Li. "An Ensemble 3D Convolutional Neural Network for Spatiotemporal Soil Temperature Forecasting." Sustainability 13, no. 16 (August 16, 2021): 9174. http://dx.doi.org/10.3390/su13169174.
Повний текст джерелаChen, Suting, Song Zhang, Huantong Geng, Yaodeng Chen, Chuang Zhang, and Jinzhong Min. "Strong Spatiotemporal Radar Echo Nowcasting Combining 3DCNN and Bi-Directional Convolutional LSTM." Atmosphere 11, no. 6 (May 29, 2020): 569. http://dx.doi.org/10.3390/atmos11060569.
Повний текст джерелаCao, Yang, Detian Liu, Qizheng Yin, Fei Xue, and Hengliang Tang. "MSASGCN : Multi-Head Self-Attention Spatiotemporal Graph Convolutional Network for Traffic Flow Forecasting." Journal of Advanced Transportation 2022 (June 17, 2022): 1–15. http://dx.doi.org/10.1155/2022/2811961.
Повний текст джерелаZhou, Qianqian, Nan Chen, and Siwei Lin. "FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering Spatiotemporal Features." Sensors 22, no. 18 (September 13, 2022): 6921. http://dx.doi.org/10.3390/s22186921.
Повний текст джерелаLee, Kyungeun, and Wonjong Rhee. "DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting." Transportation Research Part C: Emerging Technologies 134 (January 2022): 103466. http://dx.doi.org/10.1016/j.trc.2021.103466.
Повний текст джерелаZhao, Liang, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. "Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting." IEEE Transactions on Knowledge and Data Engineering 29, no. 5 (May 1, 2017): 1059–72. http://dx.doi.org/10.1109/tkde.2017.2657624.
Повний текст джерелаCastro, Rafaela, Yania M. Souto, Eduardo Ogasawara, Fabio Porto, and Eduardo Bezerra. "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting." Neurocomputing 426 (February 2021): 285–98. http://dx.doi.org/10.1016/j.neucom.2020.09.060.
Повний текст джерелаGilanifar, Mostafa, Hui Wang, Lalitha Madhavi Konila Sriram, Eren Erman Ozguven, and Reza Arghandeh. "Multitask Bayesian Spatiotemporal Gaussian Processes for Short-Term Load Forecasting." IEEE Transactions on Industrial Electronics 67, no. 6 (June 2020): 5132–43. http://dx.doi.org/10.1109/tie.2019.2928275.
Повний текст джерелаWu, Yuankai, Dingyi Zhuang, Aurelie Labbe, and Lijun Sun. "Inductive Graph Neural Networks for Spatiotemporal Kriging." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (May 18, 2021): 4478–85. http://dx.doi.org/10.1609/aaai.v35i5.16575.
Повний текст джерелаJian, Yang, Jinhong Li, Lu Wei, Lei Gao, and Fuqi Mao. "Spatiotemporal DeepWalk Gated Recurrent Neural Network: A Deep Learning Framework for Traffic Learning and Forecasting." Journal of Advanced Transportation 2022 (April 18, 2022): 1–11. http://dx.doi.org/10.1155/2022/4260244.
Повний текст джерелаJia, Hongwei, Haiyong Luo, Hao Wang, Fang Zhao, Qixue Ke, Mingyao Wu, and Yunyun Zhao. "ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning." Sensors 20, no. 16 (August 14, 2020): 4574. http://dx.doi.org/10.3390/s20164574.
Повний текст джерелаHan, Xu, and Shicai Gong. "LST-GCN: Long Short-Term Memory Embedded Graph Convolution Network for Traffic Flow Forecasting." Electronics 11, no. 14 (July 17, 2022): 2230. http://dx.doi.org/10.3390/electronics11142230.
Повний текст джерелаDas, Someshwar, S. V. Singh, E. N. Rajagopal, and Robert Gall. "Mesoscale Modeling for Mountain Weather Forecasting Over the Himalayas." Bulletin of the American Meteorological Society 84, no. 9 (September 1, 2003): 1237–44. http://dx.doi.org/10.1175/bams-84-9-1237.
Повний текст джерелаTSONIS, A. A. "THE IMPACT OF NONLINEAR DYNAMICS IN THE ATMOSPHERIC SCIENCES." International Journal of Bifurcation and Chaos 11, no. 04 (April 2001): 881–902. http://dx.doi.org/10.1142/s0218127401002663.
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