Míriam Timiraos

According to our database, Míriam Timiraos authored at least 29 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Development of virtual sensors using multi-plant data for wastewater treatment applications: a case study on nitrogen prediction in effluents.

Míriam Timiraos, Manuel Rubiños, Marta-María Álvarez-Crespo, Oscar Fontenla-Romero, José Luís Calvo-Rolle

Log. J. IGPL, 2026

Intelligent observer for fault detection and data recovery for small wind turbine.

Antonio Díaz-Longueira, Marta-María Álvarez-Crespo, Álvaro Michelena, Míriam Timiraos, Oscar Fontenla-Romero, José Luís Calvo-Rolle

Log. J. IGPL, 2026

Hybrid Preprocessing and Machine Learning for Wind Power Prediction in Small-Scale Wind Systems.

Míriam Timiraos, Antonio Díaz-Longueira, Manuel Rubiños, Roberto Casado-Vara, José Luís Casteleiro-Roca, Álvaro Michelena

Proceedings of the Hybrid Artificial Intelligent Systems - 21st International Conference, 2026

Enhancing the Discriminative Quality of Dairy Cattle Monitoring Data Through Feature Engineering.

Manuel Rubiños, Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Alejandro Vidal-Bralo

Proceedings of the Hybrid Artificial Intelligent Systems - 21st International Conference, 2026

2025

Optimizing wastewater treatment plants with advanced feature selection and sensor technologies.

Míriam Timiraos, Jesús F. Águila, Elena Arce, Moisés Alberto García Núñez, Francisco Zayas-Gato, Héctor Quintián

Log. J. IGPL, 2025

A Novel Indicator for Nitrogen Prediction in Wastewater Treatment Plants. Implementation of Intelligent Agent-Based.

Míriam Timiraos, Emilio Lima Bullones, Alejandro Vidal-Bralo, José Luís Casteleiro-Roca, José Luís Calvo-Rolle

Proceedings of the Advances in Computational Intelligence, 2025

Application of AI Models for Predicting Level in Sewerage Networks: A Case Study of a Wastewater Pumping Station.

Míriam Timiraos, Jesús F. Águila, Óscar Brandón-Basdediós, Andrea Camila Forero, Óscar Fontenla-Romero, José Luís Calvo-Rolle

Proceedings of the Distributed Computing and Artificial Intelligence, 2025

2024

A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production.

Ángel Arroyo, Nuño Basurto, Roberto Casado-Vara, Míriam Timiraos, José Luís Calvo-Rolle

Neurocomputing, January, 2024

Beta Hebbian Learning for intrusion detection in networks with MQTT Protocols for IoT devices.

Álvaro Michelena, María Teresa García-Ordás, José Aveleira-Mata, David Yeregui Marcos del Blanco, Míriam Timiraos Díaz, Francisco Zayas-Gato, Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Héctor Alaiz-Moretón, José Luís Calvo-Rolle

Log. J. IGPL, 2024

A Hybrid Intelligence Model Forecasts the SOC of Electric Vehicle's Battery.

Manuel Rubiños, Paula Arcano-Bea, Míriam Timiraos, Álvaro Michelena, Rafael Vega Vega, José Manuel Andújar, José Luís Casteleiro-Roca

Proceedings of the 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024, 2024

Characterization of Cattle Behavior Based on Dimensional Reduction Techniques.

Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle

Proceedings of the 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024, 2024

Potable Water Quality Assessment Through an Intelligent Classification Model.

Míriam Timiraos, Antonio Díaz-Longueira, Álvaro Michelena, Francisco Zayas-Gato, José Luís Casteleiro-Roca, José Luís Calvo-Rolle

Proceedings of the Ambient Intelligence - Software and Applications, 2024

Characterization of Water Consumers in Urban Areas Based on Data Visualization Techniques.

Manuel Rubiños, Paula Arcano-Bea, Antonio Díaz-Longueira, Míriam Timiraos, Álvaro Michelena, Francisco Zayas-Gato

Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

A Machine Learning - Based System for Determining Water Potability.

Míriam Timiraos, Antonio Díaz-Longueira, Francisco Zayas-Gato, José Luís Casteleiro-Roca, Oscar Fontenla-Romero, José Luís Calvo-Rolle

Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions III, 2024

A Comparative Analysis of Algorithms and Metrics to Perform Clustering.

Manuel Rubiños, Antonio Díaz-Longueira, Míriam Timiraos, Álvaro Michelena, María Teresa García-Ordás, Héctor Alaiz-Moretón

Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions III, 2024

Wind Speed Virtual Sensor for Small Wind Turbine.

Antonio Díaz-Longueira, Paula Arcano-Bea, Míriam Timiraos, Álvaro Michelena, Francisco Javier de Cos Juez, José Luís Calvo-Rolle

Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions III, 2024

A Deep Learning-Based OCR System Implementation for Traceability Ensurement in a Metal Manufacturing Workshop.

Paula Arcano-Bea, Míriam Timiraos, Pablo Fariñas, Francisco Zayas-Gato, José Luís Calvo-Rolle, Esteban Jove

Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions III, 2024

2023

Categorization of CoAP DoS Attack Based on One-Class Boundary Methods.

Míriam Timiraos, Álvaro Michelena, Antonio Díaz-Longueira, Esteban Jove, Jose Aveleira-Mata, Isaías García-Rodríguez, Martín Bayón-Gutiérrez, Héctor Alaiz-Moretón, José Luís Calvo-Rolle

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction.

Míriam Timiraos, Antonio Díaz-Longueira, Álvaro Michelena, Francisco Zayas-Gato, José Luís Casteleiro-Roca, Esteban Jove, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Machine Learning Based System for Detecting Battery State-of-Health.

Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Francisco Zayas-Gato, Héctor Quintián, Natalia Prieto-Fernández, Héctor Alaiz-Moretón, José Luís Calvo-Rolle, María Teresa García-Ordás

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Comparative Study of Regression Models Applied to the Prediction of Energy Generated by a Micro Wind Turbine.

Antonio Díaz-Longueira, Míriam Timiraos, Álvaro Michelena, Francisco Zayas-Gato, José Luís Casteleiro-Roca, Esteban Jove, Héctor Quintián, Dragan Simic, José Luís Calvo-Rolle

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP.

Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Esteban Jove, Jose Aveleira-Mata, Isaías García-Rodríguez, María Teresa García-Ordás, José Luís Calvo-Rolle, Héctor Alaiz-Moretón

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Daily Accumulative Photovoltaic Energy Prediction Using Hybrid Intelligent Model.

Antonio Díaz-Longueira, Míriam Timiraos, Juan Albino Méndez Pérez, José Luís Casteleiro-Roca, Esteban Jove

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries.

Antonio Díaz-Longueira, Álvaro Michelena, Míriam Timiraos, Francisco Zayas-Gato, Héctor Quintián, Carmen Benavides-Cuellar, Héctor Alaiz-Moretón, José Luís Calvo-Rolle, María Teresa García-Ordás

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction.

Míriam Timiraos, Antonio Díaz-Longueira, Álvaro Michelena, Francisco Zayas-Gato, Héctor Quintián, Héctor Alaiz-Moretón, Oscar Fontenla-Romero, José Luís Calvo-Rolle

Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions II, 2023

Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol.

Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Francisco Javier de Cos Juez, Héctor Alaiz-Moretón, Dragan Simic, Oscar Fontenla-Romero, José Luís Calvo-Rolle

Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions II, 2023

Comparative Study of Forecasting Techniques for Small Wind Turbine Power Generation by Meteorological Parameters.

Antonio Díaz-Longueira, Míriam Timiraos, Álvaro Michelena, Francisco Zayas-Gato, Esteban Jove, Roberto Casado-Vara, Oscar Fontenla-Romero, José Luís Calvo-Rolle

Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions II, 2023

A Novel Method for Failure Detection Based on Real-Time Systems Identification.

Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle

Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023

System Identification and Emulation of a Physical Level Control Plant Using a Low Cost Embedded System.

Daniel Méndez-Busto, Antonio Díaz-Longueira, Álvaro Michelena, Míriam Timiraos, Francisco Zayas-Gato, Esteban Jove, Elena Arce, Héctor Quintián

Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023