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 et Yunhao Cao

Article de revue (2024)

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Département:	Département de génie mécanique
URL de PolyPublie:	https://publications.polymtl.ca/59513/
Titre de la revue:	Journal of Stored Products Research (vol. 109)
Maison d'édition:	Elsevier
DOI:	10.1016/j.jspr.2024.102427
URL officielle:	https://doi.org/10.1016/j.jspr.2024.102427
Date du dépôt:	29 oct. 2024 13:18
Dernière modification:	08 avr. 2025 07:29

Citer en 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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