Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Vivian F. López-Batista"'
Publikováno v:
Information, Vol 13, Iss 5, p 241 (2022)
IoT devices play a fundamental role in the machine learning (ML) application pipeline, as they collect rich data for model training using sensors. However, this process can be affected by uncontrollable variables that introduce errors into the data,
Externí odkaz:
https://doaj.org/article/da808b963a2f45f7ab778be33379fd25
Autor:
Paul D. Rosero-Montalvo, Vanessa C. Erazo-Chamorro, Vivian F. López-Batista, María N. Moreno-García, Diego H. Peluffo-Ordóñez
Publikováno v:
Sensors, Vol 20, Iss 20, p 5905 (2020)
This work presents a monitoring system for the environmental conditions of rose flower-cultivation in greenhouses. Its main objective is to improve the quality of the crops while regulating the production time. To this end, a system consisting of aut
Externí odkaz:
https://doaj.org/article/60714a21d8304b1db270700437310956
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 1988 (2020)
This work presents a wireless sensor network (WSN) system able to determine the water quality of rivers. Particularly, we consider the Tahuando River from Ibarra, Ecuador, as a case study. The main goal of this research is to determine the river’s
Externí odkaz:
https://doaj.org/article/4413a739865345788df708644e280c38
Autor:
Diego Sánchez-Moreno, Vivian F. López Batista, María Dolores Muñoz Vicente, Ángel Luis Sánchez Lázaro, María N. Moreno-García
Publikováno v:
Information, Vol 15, Iss 3, p 138 (2024)
Information from social networks is currently being widely used in many application domains, although in the music recommendation area, its use is less common because of the limited availability of social data. However, most streaming platforms allow
Externí odkaz:
https://doaj.org/article/70c57971da6d49d5a6b8a3154b1bf375
Auto-tagging system based on song’s latent representations for inferring contextual user information
Autor:
Alvaro Lozano Murciego, Diego M. Jiménez-Bravo, André Sales Mendes, Vivian F. López Batista, Maria N. Moreno-García
Publikováno v:
2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b920ccc32a40cef7683b435cd819878
https://doi.org/10.1109/wi-iat55865.2022.00040
https://doi.org/10.1109/wi-iat55865.2022.00040
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783031148583
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0da2ea04e337d73bc066510ed7b8ddc4
https://doi.org/10.1007/978-3-031-14859-0_12
https://doi.org/10.1007/978-3-031-14859-0_12
Autor:
Denis Pato Martínez, Vivian F. López-Batista, Juan Francisco de Paz Santana, María N. Moreno-García, Francisco García
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783031148583
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9203be511421d4dec7695657a390662
https://doi.org/10.1007/978-3-031-14859-0_11
https://doi.org/10.1007/978-3-031-14859-0_11
Publikováno v:
IEEE Sensors Journal. 21:15729-15740
Car drivers under the influence of alcohol is one of the most common causes of road traffic accidents. To tackle this issue, an emerging, suitable alternative is the use of intelligent systems -traditionally based on either sensor networks or artific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a846de6c93e3e0d42ed3c49aca619d4d
https://doi.org/10.1109/jsen.2020.3038143
https://doi.org/10.1109/jsen.2020.3038143
Autor:
Ricardo P. Arciniega-Rocha, Diego Hernán Peluffo-Ordóñez, Vivian F. López-Batista, Paul D. Rosero-Montalvo
Publikováno v:
Logic Journal of the IGPL. 30:599-610
Air pollution is a current concern of people and government entities. Therefore, in urban scenarios, its monitoring and subsequent analysis is a remarkable and challenging issue due mainly to the variability of polluting-related factors. For this rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63c4227bcb96a180184d375a234bbffc
https://doi.org/10.1093/jigpal/jzab005
https://doi.org/10.1093/jigpal/jzab005
Publikováno v:
Information; Volume 13; Issue 5; Pages: 241
IoT devices play a fundamental role in the machine learning (ML) application pipeline, as they collect rich data for model training using sensors. However, this process can be affected by uncontrollable variables that introduce errors into the data,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41f84cfedc122fb0c3ad75559f444551