Advanced hybrid empirical mode decomposition, convolutional neural network and long short-term memory neural network approach for predicting grain pile humidity based on meteorological inputs

Yifei Qin, Shanshan Duan, Sofiane Achiche, Yuan Zhang and Yunhao Cao

Article (2024)

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Department:	Department of Mechanical Engineering
PolyPublie URL:	https://publications.polymtl.ca/59513/
Journal Title:	Journal of Stored Products Research (vol. 109)
Publisher:	Elsevier
DOI:	10.1016/j.jspr.2024.102427
Official URL:	https://doi.org/10.1016/j.jspr.2024.102427
Date Deposited:	29 Oct 2024 13:18
Last Modified:	29 Oct 2024 13:18

Cite in APA 7:	Qin, Y., Duan, S., Achiche, S., Zhang, Y., & Cao, Y. (2024). Advanced hybrid empirical mode decomposition, convolutional neural network and long short-term memory neural network approach for predicting grain pile humidity based on meteorological inputs. Journal of Stored Products Research, 109, 102427 (10 pages). https://doi.org/10.1016/j.jspr.2024.102427
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