Image database for the scientific paper: Deep Learning Algorithm, Based on Convolutional Neural Networks, for Equivalent Electrical Circuit Recommendation for Electrochemical Impedance Spectroscopy

Pérez Herranz, Valentín; Giner Sanz, Juan José; Sáez Pardo, Fermín

doi:10.4995/Dataset/10251/202500

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Image database for the scientific paper: Deep Learning Algorithm, Based on Convolutional Neural Networks, for Equivalent Electrical Circuit Recommendation for Electrochemical Impedance Spectroscopy

dc.contributor.author	Pérez Herranz, Valentín	es_ES
dc.contributor.author	Giner Sanz, Juan José	es_ES
dc.contributor.author	Sáez Pardo, Fermín	es_ES
dc.date.accessioned	2024-02-09T09:55:21Z
dc.date.available	2024-02-09T09:55:21Z
dc.date.issued	2024-02-09T09:55:21Z
dc.identifier.uri	http://hdl.handle.net/10251/202500
dc.description.abstract	The present dataset is the database and image database used to train and test the Convolutional Neural Network models of the scientific paper: Deep Learning algorithm, based on convolutional neural networks, for electrical equivalent electrical circuit recommendation for Electrochemical Impedance Spectroscopy	es_ES
dc.language	Inglés	es_ES
dc.publisher	Universitat Politècnica de València
dc.rights	Reconocimiento (by)	es_ES
dc.subject	Convolutional Neural Networks (CNN)	es_ES
dc.subject	Electrical Equivalent Circuits (EEC)	es_ES
dc.subject	Electrochemical Impedance Spectroscopy (EIS)	es_ES
dc.subject	Electrical equivalent circuits	es_ES
dc.subject	Deep Learning (DL)	es_ES
dc.subject	Artificial Vision (AV)	es_ES
dc.subject.classification	INGENIERIA QUIMICA	es_ES
dc.subject.classification	CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL	es_ES
dc.title	Image database for the scientific paper: Deep Learning Algorithm, Based on Convolutional Neural Networks, for Equivalent Electrical Circuit Recommendation for Electrochemical Impedance Spectroscopy	es_ES
dc.type	Dataset	es_ES
dc.identifier.doi	10.4995/Dataset/10251/202500	es_ES
dc.relation.projectID	info:eu-repo/grantAgreement/UPV//PAID-01-22/ES/Espectroscopía de impedancias electroquímicas. Identificación de circuitos eléctricos equivalentes vía inteligencia artificial	es_ES
dc.rights.accessRights	Abierto	es_ES
dc.contributor.affiliation	Universitat Politècnica de València. Instituto de Seguridad Industrial, Radiofísica y Medioambiental - Institut de Seguretat Industrial, Radiofísica i Mediambiental	es_ES
dc.description.bibliographicCitation	Pérez Herranz, V.; Giner Sanz, JJ.; Sáez Pardo, F. (2024). Image database for the scientific paper: Deep Learning Algorithm, Based on Convolutional Neural Networks, for Equivalent Electrical Circuit Recommendation for Electrochemical Impedance Spectroscopy. Universitat Politècnica de València. https://doi.org/10.4995/Dataset/10251/202500	es_ES
dc.type.version	info:eu-repo/semantics/submittedVersion	es_ES
dc.contributor.funder	Universitat Politècnica de València	es_ES