Listar LCC - Artículos por autor "Díaz-Rodríguez, Manuel"
Mostrando ítems 1-6 de 6
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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. ... -
Kafka-ML: Connecting the data stream with ML/AI frameworks
Martín-Fernández, Cristian; Langendoerfer, Peter; Soltani Zarrin, Pouya; Díaz-Rodríguez, Manuel; Rubio-Muñoz, Bartolomé (Elsevier, 2022-01-01)Machine Learning (ML) and Artificial Intelligence (AI) depend on data sources to train, improve, and make predictions through their algorithms. With the digital revolution and current paradigms like the Internet of Things, ... -
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. ... -
The orchestration of Machine Learning frameworks with datastreams and GPU acceleration in Kafka-ML: A deep-learning performance comparative
Machine Learning (ML) applications need large volumes of data to train their modelsso that they can make high-quality predictions. Given digital revolution enablers suchas the Internet of Things (IoT) and the Industry 4.0, ... -
Wireless sensor networks and structural health monitoring: Experiences with slab track infrastructures
Cañete, Eduardo; Chen, Jaime; Llopis-Torres, Luis Manuel; Díaz-Rodríguez, Manuel; Rubio-Muñoz, Bartolomé (SAGE, 2019)Slab track systems have the potential to become a more sustainable option for high-speed railway infrastructures than traditional ballasted tracks. Traditionally, the systems that monitor these infrastructures have been ...