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Effective variational data assimilation in air-pollution prediction.

, , и . Big Data Min. Anal., 1 (4): 297-307 (2018)

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Rossella Lauciello

Federica Rossella

 

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Neural Assimilation., , и . ICCS (6), том 12142 из Lecture Notes in Computer Science, стр. 155-168. Springer, (2020)Weak Constraint Gaussian Processes for optimal sensor placement., , , , , и . J. Comput. Sci., (2020)Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting., и . J. Comput. Soc. Sci., 5 (2): 1427-1465 (ноября 2022)Effective variational data assimilation in air-pollution prediction., , и . Big Data Min. Anal., 1 (4): 297-307 (2018)Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting., , , , , и . J. Comput. Phys., (2022)Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic., , , , , и . Neurocomputing, (2022)G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training., , , , , и . CoRR, (2023)ETP: Learning Transferable ECG Representations via ECG-Text Pre-training., , , , и . CoRR, (2023)DD-OceanVar: A Domain Decomposition Fully Parallel Data Assimilation Software for the Mediterranean Forecasting System., , , и . ICCS, том 18 из Procedia Computer Science, стр. 1235-1244. Elsevier, (2013)A Neural SIR Model for Global Forecasting., , и . ML4H@NeurIPS, том 136 из Proceedings of Machine Learning Research, стр. 254-266. PMLR, (2020)