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)

Un lien externe est disponible pour ce document

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:	29 oct. 2024 13:18

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
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Répertoire des publications (EndNote)Simple Metadata

Statistiques

Dimensions

Actions réservées au personnel

Afficher document