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Is Adding More Modalities Better in a Multimodal Spatio-temporal Prediction Scenario? A Case Study on Japan Air Quality., , и . MobiQuitous, том 419 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 406-421. Springer, (2021)Defining a Distributed Architecture for Smart Energy Aware Systems., , и . CSDM, стр. 83-94. Springer, (2016)Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data., , , , , , и . IJCAI, стр. 2189-2195. ijcai.org, (2022)Time-delayed Multivariate Time Series Predictions., , , , , , , и . SDM, стр. 325-333. SIAM, (2023)Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction., , , , , , , и . PAKDD (1), том 13280 из Lecture Notes in Computer Science, стр. 68-80. Springer, (2022)Elucidating the extent by which population staying patterns help improve electricity load demand predictions., , , и . IEEE BigData, стр. 3482-3487. IEEE, (2020)Service-based Networking for M2M Communications. (Réseaux basés sur les services disponibles et appliqués aux communications de machine à machine).. University of Rennes 1, France, (2015)ICDAR'23: Intelligent Cross-Data Analysis and Retrieval., , , , , и . ICMR, стр. 674-675. ACM, (2023)A Classical Machine Learning Method for Locomotion and Transportation Recognition using both Motion and Location Data., , и . UbiComp/ISWC Adjunct, стр. 511-516. ACM, (2023)Influence of Land Use information over performance when predicting spatiotemporal electricity load demand., , и . IEEE BigData, стр. 1633-1639. IEEE, (2021)