Dynamical System Modeling for Disruption in Supply Chain and Its Detection Using a Data-Driven Deep Learning-Based Architecture

dc.date.accessioned	2025-09-17T22:24:29Z
dc.date.available	2025-09-17T22:24:29Z
dc.date.issued	2025-04-08	es_MX
dc.identifier.uri	https://cathi.uacj.mx/20.500.11961/31538
dc.description.uri	https://doi.org/10.3390/logistics9020051	es_MX
dc.language.iso	spa	es_MX
dc.relation.ispartof	Producto de investigación IIT	es_MX
dc.relation.ispartof	Instituto de Ingeniería y Tecnología	es_MX
dc.subject.other	info:eu-repo/classification/cti/7	es_MX
dc.title	Dynamical System Modeling for Disruption in Supply Chain and Its Detection Using a Data-Driven Deep Learning-Based Architecture	es_MX
dc.type	Artículo	es_MX
dcterms.thumbnail	http://ri.uacj.mx/vufind/thumbnails/rupiiit.png	es_MX
dcrupi.instituto	Instituto de Ingeniería y Tecnología	es_MX
dcrupi.cosechable	Si	es_MX
dcrupi.norevista	2	es_MX
dcrupi.volumen	9	es_MX
dc.identifier.doi	https://doi.org/10.3390/logistics9020051	es_MX
dc.contributor.coauthor	Avelar, Liliana
dc.contributor.coauthor	Mejia, Jose
dc.contributor.coauthor	García-Alcaraz, Jorge Luis
dc.journal.title	Logistics	es_MX
dc.contributor.authorexterno	de la Cruz Madrigal, Víctor Hugo
dc.contributor.coauthorexterno	Jiménez Macías, Emilio
dcrupi.pronaces	Ninguno	es_MX