المؤلفون: Juan Dong, Liwen Xing, Ningbo Cui, Lu Zhao, Li Guo, Zhihui Wang, Taisheng Du, Mingdong Tan, Daozhi Gong

المصدر: Agricultural Water Management, Vol 292, Iss , Pp 108665- (2024)

مصطلحات موضوعية: Hybrid deep learning model, Multivariate Adaptive Regression Splines, Empirical model, Limited meteorological input, Cross-validation strategy, Agriculture (General), S1-972, Agricultural industries, HD9000-9495

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0378377423005309; https://doaj.org/toc/1873-2283

URL الوصول: https://doaj.org/article/5fff1bed0625406387ca1ce296674002

المؤلفون: Pietro Binel (9922521), Marco Mazzotti (1296966)

مصطلحات موضوعية: Microbiology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, removing fine particles, earlier theoretical study, cross validation strategy, 3d printed hydrocyclones, selective dissolution process, proposed process reaches, respective operating conditions, dedicated experimental campaign, experimental campaign, process simulation, conditions viable, experimental results, valuable tool, validated using, two processes, thus providing, suspension obtained, suspended mass, superior performance, successfully operated, reasonable amount, model due, laboratory scale, finally demonstrating, comparatively assess

Relation: https://figshare.com/articles/journal_contribution/Selective_Dissolution_Process_Featuring_a_Classification_Device_for_the_Removal_of_Fines_in_Crystallization_Experiments/16867473

الاتاحة: https://doi.org/10.1021/acs.iecr.1c03401.s001