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Landslide Susceptibility Assessment Based on Different MaChine Learning Methods in Zhaoping County of Eastern Guangxi., , , , , и . Remote. Sens., 13 (18): 3573 (2021)Using methane dynamic model to estimate methane emission from natural wetlands in China., , , и . Geoinformatics, стр. 1-4. IEEE, (2010)Manganese mineral prospectivity based on deep convolutional neural networks in Songtao of northeastern Guizhou., , , , , , , , , и 1 other автор(ы). Earth Sci. Informatics, 17 (2): 1681-1697 (апреля 2024)Automatic identification method for subaqueous gravity flow facies in core images using convolutional neural networks., , , , , , и . Earth Sci. Informatics, 18 (1): 119 (января 2025)Identification of Hydrothermal Alteration Minerals for Exploring Gold Deposits Based on SVM and PCA Using ASTER Data: A Case Study of Gulong., , , , , и . Remote Sensing, 11 (24): 3003 (2019)Suitability evaluation of urban construction land based on geo-environmental factors of Hangzhou, China., , , , и . Comput. Geosci., 37 (8): 992-1002 (2011)Urban construction land suitability evaluation based on the BP neural network: A case study on Hangzhou., , , и . Geoinformatics, стр. 1-4. IEEE, (2010)Landslide susceptibility assessment in Qinzhou based on rough set and semi-supervised support vector machine., , , , и . Earth Sci. Informatics, 16 (4): 3163-3177 (декабря 2023)