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Accelerating Update of Variable Precision Multigranulation Approximations While Adding Granular Structures., и . Inf., 13 (11): 541 (2022)Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions., , , , , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2022)Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies., , и . CIKM, стр. 725-734. ACM, (2020)Hyperspectral Estimation of Nitrogen Content in Winter Wheat Leaves Based on Unmanned Aerial Vehicles., , , , , , , и . CCTA (2), том 546 из IFIP Advances in Information and Communication Technology, стр. 321-339. Springer, (2017)Estimation of Leaf Nitrogen Concentration of Winter Wheat Using UAV-Based RGB Imagery., , , , , , и . CCTA (2), том 546 из IFIP Advances in Information and Communication Technology, стр. 139-153. Springer, (2017)Hyperspectral Estimation Methods for Chlorophyll Content of Apple Based on Random Forest., , , , , и . CCTA (2), том 546 из IFIP Advances in Information and Communication Technology, стр. 194-207. Springer, (2017)Mapping Soybean Maturity and Biochemical Traits Using UAV-Based Hyperspectral Images., , , , , , , , , и . Remote. Sens., 15 (19): 4807 (октября 2023)Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs., , , , и . COLING, стр. 151-160. ACL, (2016)Prediction of Nitrogen Content in Apple Leaves Based on Continuous Wavelet Transform., , , , , , , и . IGARSS, стр. 1841-1844. IEEE, (2019)Empirical study on variational inference methods for topic models., , , и . J. Exp. Theor. Artif. Intell., 30 (1): 129-142 (2018)