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Predicting Indoor Location based on a Hybrid Markov-LSTM Model., , and . W2GIS, volume 12473 of Lecture Notes in Computer Science, page 33-38. Springer, (2020)Urban traffic flow prediction: a dynamic temporal graph network considering missing values., , , and . Int. J. Geogr. Inf. Sci., 37 (4): 885-912 (April 2023)Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model., , and . SpatialDI, volume 14619 of Lecture Notes in Computer Science, page 242-251. Springer, (2024)Traffic condition estimation and data quality assessment for signalized road networks using massive vehicle trajectories., , and . J. Ambient Intell. Humaniz. Comput., 15 (1): 305-322 (January 2024)Indoor Location Prediction Method for Shopping Malls Based on Location Sequence Similarity., , , and . ISPRS Int. J. Geo Inf., 8 (11): 517 (2019)Simulating human mobility with a trajectory generation framework based on diffusion model., , , and . Int. J. Geogr. Inf. Sci., 38 (5): 847-878 (May 2024)A Hybrid Markov and LSTM Model for Indoor Location Prediction., , , , and . IEEE Access, (2019)Building an Open Resources Repository for COVID-19 Research., , , , , , , , , and 11 other author(s). Data Inf. Manag., 4 (3): 130-147 (2020)A deep marked graph process model for citywide traffic congestion forecasting., , , , , and . Comput. Aided Civ. Infrastructure Eng., 39 (8): 1180-1196 (April 2024)Exploring the Spatiotemporal Characteristics of COVID-19 Infections among Healthcare Workers: A Multi-Scale Perspective., , , and . ISPRS Int. J. Geo Inf., 10 (10): 691 (2021)