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An Improved Deep-Learning-Based Precipitation Estimation Algorithm Using Multitemporal GOES-16 Images., , , , , и . IEEE Trans. Geosci. Remote. Sens., (2024)An information sharing algorithm for large dynamic mobile multi-agent teams., , , и . AAMAS, стр. 1261-1262. IFAAMAS, (2012)FSC-USNet: Fractional Snow Cover Retrieval on the Tibetan Plateau by Integrating Improved Attention Mechanisms., , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Downscaling Snow Depth Mapping by Fusion of Microwave and Optical Remote-Sensing Data Based on Deep Learning., , , , , , , и . Remote. Sens., 13 (4): 584 (2021)DSRSS-Net: Improved-Resolution Snow Cover Mapping from FY-4A Satellite Images Using the Dual-Branch Super-Resolution Semantic Segmentation Network., , , , , , , , и . Remote. Sens., 15 (18): 4431 (сентября 2023)A prediction model that uses the sequence of attempts and hints to better predict knowledge: "Better to attempt the problem first, rather than ask for a hint"., , , и . EDM, стр. 316-317. International Educational Data Mining Society, (2013)Exploring the Importance of Information Relevance, Ontology and Utilities for Scalable Multi-agent Coordination., , , и . IAT, стр. 204-211. IEEE Computer Society, (2012)978-1-4673-6057-9.The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints., , и . EDM (Workshops), том 1183 из CEUR Workshop Proceedings, CEUR-WS.org, (2014)An Improvement Multitask Transformer Network for Dual-Polarization Radar Extrapolation., , , , и . IEEE Trans. Geosci. Remote. Sens., (2024)Spatial-temporal variability of PM2.5 concentration in Xuzhou based on satellite remote sensing and meteorological data., , , и . Int. J. Sens. Networks, 29 (3): 181-191 (2019)