Listar por autor "Díaz-Rodríguez, Manuel"
Mostrando ítems 1-20 de 30
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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) ... -
A soft sensor open-source methodology for inexpensive monitoring of water quality: a case study of NO3− concentrations
Chaves García, Antonio Jesús; Martín-Fernández, Cristian; Llopis-Torres, Luis Manuel; Díaz-Rodríguez, Manuel; Fernández-Ortega, Jaime; Barberá-Fornell, Juan Antonio; Andreo-Navarro, Bartolomé[et al.] (Elsevier, 2025-01)
Nitrate (NO3−) concentrations in aquifers constitute a global problem affecting environmental integrity and public health. Unfortunately, deploying hardware sensors specifically for NO3− measurements can be expensive, ... -
An edge computing architecture in the Internet of Things
In the last few years, the Internet of Things (IoT) has emerged as the new disruptive technology to change the world. Cloud computing has accompanied this field to overcome its processing and storage limitations. However, ... -
Appdaptivity: an Internet of things device-decoupled system for portable applications in changing contexts
Martín-Fernández, Cristian; Hoebeke, Jeroen; Rossey, Jen; Díaz-Rodríguez, Manuel; Rubio-Muñoz, Bartolomé; Van den Abeele, Floris[et al.] (MDPI, 2018-04)
Currently,applicationsintheInternetofThings(IoT)aretightlycoupledtotheunderlying physical devices. As a consequence, upon adding a device, device replacement or user’s relocation to a different physical space, application ... -
Desarrollo de software para sistemas de tiempo real basado en UML. Un enfoque formal basado en metamodelado
Álvarez-Palomo, José María (2006)
El presente trabajo propone una metodología de desarrollo de sistemas de tiempo real que hace un énfasis especial en la consideración de los requisitos no funcionales característicos de este tipo de sistema como los ... -
Desarrollo de una biblioteca de items interactivos para SIETTE
Díaz-Rodríguez, Manuel (2021-01-18)
El sistema SIETTE es una plataforma que permite realizar tareas de evaluación de forma automática en entornos virtuales de aprendizaje. Su funcionamiento se organiza en torno al concepto de Tema, subtema y pregunta. Los ... -
Distributed digital twins on the open-source OpenTwins framework
Infante, Sergio; Robles, Julia; Martín-Fernández, Cristian; Rubio-Muñoz, Bartolomé; Díaz-Rodríguez, Manuel (Elsevier, 2025-03)
With the continuous evolution of digital twins, the requirements of interconnection and interoperability have led to the creation of the term Distributed Digital Twin, where commonly, different components of the same digital ... -
Distributed federated and incremental learning for electric vehicles model development in Kafka-ML
With the increasing development and deployment of new systems for efficient and clean mobility, Electric Vehicles (EVs) are becoming more and more common among people. Those produce large amounts of data streams that need ... -
Federated Learning Meets Blockchain: A Kafka-ML Integration for reliable model training using data streams
Martín-Fernández, Cristian; Chaves, Antonio; Díaz-Rodríguez, Manuel; Shahid, Adnan; SKIm, Kwang Soon (IEEE, 2024)
Machine learning data privacy has been improved with Federated Learning approaches. However, some obstacles to guaranteeing traceability, openness, and participant contribution incentives prevent its widespread use. In ... -
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 ... -
IntegraDos: facilitating the adoption of the Internet of Things through the integration of technologies
Martín-Fernández, Cristian (UMA Editorial, 2018-11-14)
El Internet de las Cosas (IoT) fue un nuevo concepto introducido por K. Asthon en 1999 para referirse a un conjunto identificable de objetos conectados a través de RFID. Actualmente, el IoT se caracteriza por ser una ... -
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, ... -
Maintaining flexibility in smart grid consumption through deep learning and deep reinforcement learning
Gallego, Fernando; Martín-Fernández, Cristian; Díaz-Rodríguez, Manuel; Garrido-Márquez, Daniel; Garrido-Márquez, Daniel (Elsevier, 2023-03-02)
The smart grid concept is key to the energy revolution that has been taking place in recent years. Smart Grids have been present in energy research since their emergence. However, the scarcity of data from different energy ... -
Managing and Deploying Distributed and Deep Neural Models Through Kafka-ML in the Cloud-to-Things Continuum
Carnero, Alejandro; Martín-Fernández, Cristian; Torres, Daniel R.; Rubio-Muñoz, Bartolomé; Díaz-Rodríguez, Manuel (IEEE, 2021-08)
The Internet of Things (IoT) is constantly growing, generating an uninterrupted data stream pipeline to monitor physical world information. Hence, Artificial Intelligence (AI) continuously evolves, improving life quality ... -
On blockchain and its integration with IoT. Challenges and opportunities
Reyna, Ana; Martín-Fernández, Cristian; Chen, Jaime; Soler-Castillo, Enrique; Díaz-Rodríguez, Manuel (Elsevier, 2018-05)
In the Internet of Things (IoT) vision, conventional devices become smart and autonomous. This vision is turning into a reality thanks to advances in technology, but there are still challenges to address, particularly in ... -
Online learning and continuous model upgrading with data streams through the Kafka-ML framework
Carnero Hijano, Alejandro; Martín-Fernández, Cristian; Jeon, Gwanggil; Díaz-Rodríguez, Manuel (Elsevier, 2024)
A pipeline of constant data streams is being built by the Internet of Things (IoT) to monitor information about the physical environment. In parallel, Artificial Intelligence (AI) is constantly developing and enhancing ...