Listar por autor "Chaves García, Antonio Jesús"
Mostrando ítems 1-4 de 4
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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, ... -
Herramienta para ayudar a la detección y el conteo de partículas de polen de muestras biológicas
(2021-06)El objetivo general de este Trabajo de Fin de Grado ha sido desarrollar una aplicación junto al Grupo de Investigación ERTIS. Esta aplicación tiene como principal función que científicos del departamento de aerobiología ... -
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, ...