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RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202500
Dataset. 2024
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|||0000-0002-4010-0888
- Giner Sanz, Juan José|||0000-0003-0441-6102
- Sáez Pardo, Fermín
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
DOI: Dataset/10251/202500" target="_blank">http://hdl.handle.net/10251/202500, https://dx.doi.org/10.4995/Dataset/10251/202500
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202500
HANDLE: Dataset/10251/202500" target="_blank">http://hdl.handle.net/10251/202500, https://dx.doi.org/10.4995/Dataset/10251/202500
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202500
PMID: Dataset/10251/202500" target="_blank">http://hdl.handle.net/10251/202500, https://dx.doi.org/10.4995/Dataset/10251/202500
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202500
Ver en: Dataset/10251/202500" target="_blank">http://hdl.handle.net/10251/202500, https://dx.doi.org/10.4995/Dataset/10251/202500
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202500
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