Thumbnail
View/Open
Full record
Impact
Google Scholar
Share
EmailLinkedinFacebookTwitter
Save the reference
Mendely

Zotero

untranslated

Mets

Mods

Rdf

Marc

Exportar a BibTeX
Title
Dataset with trips of a 17-floor traction elevator
Author
Research Group
Análisis de datos y ciberseguridad
Teoría de la señal y comunicaciones
Version
Published version
xmlui.dri2xhtml.METS-1.0.item-datasetversion
1
Published Date
Rights
© Mondragon Goi Eskola Politeknikoa
Access
Open access
URI
https://hdl.handle.net/20.500.11984/6942
Publisher’s version
Publisher
Mondragon Unibertsitatea. Goi Eskola Politeknikoa
Keywords
ODS 4 Educación de calidad
ODS 9 Industria, innovación e infraestructura
ODS 11 Ciudades y comunidades sostenibles
Description
Dataset related to "An interpretable operational state classification framework for elevators through Convolutional Neural Networks" article. Can be intrepreted by any software able to read csv data. NOTE: Training and Test splits are separated in the dataset. Training dataset lines: (1-847002) Test dataset lines: (847004-1064093)
Funder
Gobierno Vasco
Gobierno de España
Program
Ikertalde Convocatoria 2022-2023
Ramon y Cajal. Convocatoria 2022
Number
IT1451-22
RYC2022-037300-I
Award URI
Sin información
Sin información
Project
Teoría de la Señal y Comunicaciones (IKERTALDE 2022-2023)
Jose Ignacio Aizpurua Unanue
Collections

The following license files are associated with this item:

Attribution-NonCommercial-ShareAlike 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International