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Listar por autor "Martín-Fernández, Cristian"
Mostrando ítems 1-6 de 6
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A methodology for the development of soft sensors with Kafka-ML
Chaves, Antonio; Martín-Fernández, Cristian; Llopis-Torres, Luis Manuel; Soler-Castillo, Enrique; Díaz-Rodríguez, Manuel (Springer, 2023)Advances in the Internet-of-Things (IoT) field have allowed a wide variety of devices to be connected and send information continuously to the Internet. Thanks to this increase in data communication, machine learning (ML) ... -
Funciones como servicio en el contexto del Internet de las Cosas.
Bueno Calvente, Altair (2023)En los últimos años, la computación serverless se ha convertido en una alternativa popular a la computación Cloud tradicional. Examinamos la usabilidad y la experiencia de desarrollo en tres plataformas serverless de ... -
Functions as a service for distributed deep neural network inference over the cloud-to-things continuum
Bueno Calvente, Altair; Rubio-Muñoz, Bartolomé; Martín-Fernández, Cristian; Díaz-Rodríguez, Manuel (Wiley, 2024-02-11)The use of serverless computing has been gaining popularity in recent years as an alternative to traditional Cloud computing. We explore the usability and potential development benefits of three popular open-source serverless ... -
Integrating FMI and ML/AI models on the open-sourcedigital twin framework OpenTwins
Infante, Sergio; Martín-Fernández, Cristian; Robles, Julia; Rubio-Muñoz, Bartolomé; Díaz-Rodríguez, Manuel; González Perea, Rafael; Montesinos, Pilar; Camacho Poyato, Emilio[et al.] (Wiley, 2024-03-24)The realm of digital twins is experiencing rapid growth and presents a wealth ofopportunities for Industry 4.0. In conjunction with traditional simulation meth-ods, digital twins offer a diverse range of possibilities. ... -
Pollen recognition through an open-source web-based system: automated particle counting for aerobiological analysis
Chaves García, Antonio Jesús; Martín-Fernández, Cristian; Llopis-Torres, Luis Manuel; Díaz-Rodríguez, Manuel; Ruiz-Mata, Rocío; Gálvez-Montañez, Enrique de; Recio-Criado, María Marta; Trigo-Pérez, María del Mar; Picornell Rodríguez, Antonio[et al.] (Springer Nature, 2023-12-20)Airborne pollen is produced by plants for their sexual reproduction and can have negative impacts on public health. The current monitoring systems are based on manual sampling processes which are tedious and time-consuming. ...