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DeepSTF: A Deep Spatial-Temporal Forecast Model of Taxi Flow.

, , , и . Comput. J., 66 (3): 565-580 (марта 2023)

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Chuanhao Luo

Michael Döngi

Purinerge und GAbAerge Calciumsignale in Astrozyten des Bulbus olfactorius der Maus. TU Kaiserslautern, (2009)

Dong Chen

Acceleration of the spatial selective excitation of MRI via sparse approximation. TU München, (2009)

Manfred Dönges

Klaus Georg Dönges

 

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DeepPTP: A Deep Pedestrian Trajectory Prediction Model for Traffic Intersection., , , , , и . KSII Trans. Internet Inf. Syst., 15 (7): 2321-2338 (2021)A Deep Spatial-Temporal Network for Vehicle Trajectory Prediction., , , и . WASA (1), том 12384 из Lecture Notes in Computer Science, стр. 359-369. Springer, (2020)Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index., , , , и . Data Knowl. Eng., (2021)A Forecasting Method of Dual Traffic Condition Indicators Based on Ensemble Learning., , и . ICPADS, стр. 332-339. IEEE, (2021)GCL-KGE: Graph Contrastive Learning for Knowledge Graph Embedding., , , , и . ICONIP (4), том 1791 из Communications in Computer and Information Science, стр. 177-188. Springer, (2022)CACL: Commonsense-Aware Contrastive Learning for Knowledge Graph Completion., , , , и . ICONIP (14), том 1968 из Communications in Computer and Information Science, стр. 485-496. Springer, (2023)DeepSTF: A Deep Spatial-Temporal Forecast Model of Taxi Flow., , , и . Comput. J., 66 (3): 565-580 (марта 2023)Spatial and Dual-channel Temporal Convolution Networks: A Novel Method for Speed Forecasting., , , и . ACM TUR-C, стр. 82-86. ACM, (2021)