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215 results on '"Alaiz Moretón, Héctor"'

1. Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies

Author

Benítez-Andrades, José Alberto, García-Rodríguez, Isaías, Benavides, Carmen, Alaiz-Moretón, Héctor, and Rodríguez-González, Alejandro

Subjects
Computer Science - Artificial Intelligence
Abstract

Alcohol Use Disorder (AUD) is a major concern for public health organizations worldwide, especially as regards the adolescent population. The consumption of alcohol in adolescents is known to be influenced by seeing friends and even parents drinking alcohol. Building on this fact, a number of studies into alcohol consumption among adolescents have made use of Social Network Analysis (SNA) techniques to study the different social networks (peers, friends, family, etc.) with whom the adolescent is involved. These kinds of studies need an initial phase of data gathering by means of questionnaires and a subsequent analysis phase using the SNA techniques. The process involves a number of manual data handling stages that are time consuming and error-prone. The use of knowledge engineering techniques (including the construction of a domain ontology) to represent the information, allows the automation of all the activities, from the initial data collection to the results of the SNA study. This paper shows how a knowledge model is constructed, and compares the results obtained using the traditional method with this, fully automated model, detailing the main advantages of the latter. In the case of the SNA analysis, the validity of the results obtained with the knowledge engineering approach are compared to those obtained manually using the UCINET, Cytoscape, Pajek and Gephi to test the accuracy of the knowledge model.

Published
2024
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2. Middleware-based multi-agent development environment for building and testing distributed intelligent systems

Author

Aguayo-Canela, Francisco José, Alaiz-Moretón, Héctor, García-Ordás, María Teresa, Benítez-Andrades, José Alberto, Benavides, Carmen, Novais, Paulo, and García-Rodríguez, Isaías

Subjects
Computer Science - Multiagent Systems
Abstract

The spread of the Internet of Things (IoT) is demanding new, powerful architectures for handling the huge amounts of data produced by the IoT devices. In many scenarios, many existing isolated solutions applied to IoT devices use a set of rules to detect, report and mitigate malware activities or threats. This paper describes a development environment that allows the programming and debugging of such rule-based multi-agent solutions. The solution consists of the integration of a rule engine into the agent, the use of a specialized, wrapping agent class with a graphical user interface for programming and testing purposes, and a mechanism for the incremental composition of behaviors. Finally, a set of examples and a comparative study were accomplished to test the suitability and validity of the approach. The JADE multi-agent middleware has been used for the practical implementation of the approach., Comment: arXiv admin note: substantial text overlap with arXiv:2402.09499

Published
2024
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3. Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments

Author

Aguayo-Canela, Francisco José, Alaiz-Moretón, Héctor, García-Ordás, María Teresa, Benítez-Andrades, José Alberto, Benavides, Carmen, and García-Rodríguez, Isaías

Subjects
Computer Science - Multiagent Systems
Abstract

The increasing number of connected devices and the complexity of Internet of Things (IoT) ecosystems are demanding new architectures for managing and securing these networked environments. Intrusion Detection Systems (IDS) are security solutions that help to detect and mitigate the threats that IoT systems face, but there is a need for new IDS strategies and architectures. This paper describes a development environment that allows the programming and debugging of distributed, rule-based multi-agent IDS solutions. The proposed solution consists in the integration of a rule engine into the agent, the use of a specialized, wrapping agent class with a graphical user interface for programming and debugging purposes, and a mechanism for the incremental composition of behaviors. A comparative study and an example IDS are used to test and show the suitability and validity of the approach. The JADE multi-agent middleware has been used for the practical implementations.

Published
2024
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4. Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System

Author

García-Ordás, María Teresa, Alaiz-Moretón, Héctor, Casteleiro-Roca, José-Luis, Jove, Esteban, Benítez-Andrades, José Alberto, García-Rodríguez, Isaías, Quintián, Héctor, and Calvo-Rolle, José Luis

Subjects
Computer Science - Machine Learning, Computer Science - Multiagent Systems
Abstract

This work addresses the performance comparison between four clustering techniques with the objective of achieving strong hybrid models in supervised learning tasks. A real dataset from a bio-climatic house named Sotavento placed on experimental wind farm and located in Xermade (Lugo) in Galicia (Spain) has been collected. Authors have chosen the thermal solar generation system in order to study how works applying several cluster methods followed by a regression technique to predict the output temperature of the system. With the objective of defining the quality of each clustering method two possible solutions have been implemented. The first one is based on three unsupervised learning metrics (Silhouette, Calinski-Harabasz and Davies-Bouldin) while the second one, employs the most common error measurements for a regression algorithm such as Multi Layer Perceptron.

Published
2024
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5. Multispecies bird sound recognition using a fully convolutional neural network

Author

García-Ordás, María Teresa, Rubio-Martín, Sergio, Benítez-Andrades, José Alberto, Alaiz-Moretón, Hector, and García-Rodríguez, Isaías

Subjects
Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

This study proposes a method based on fully convolutional neural networks (FCNs) to identify migratory birds from their songs, with the objective of recognizing which birds pass through certain areas and at what time. To determine the best FCN architecture, extensive experimentation was conducted through a grid search, exploring the optimal depth, width, and activation function of the network. The results showed that the optimal number of filters is 400 in the widest layer, with 4 convolutional blocks with maxpooling and an adaptive activation function. The proposed FCN offers a significant advantage over other techniques, as it can recognize the sound of a bird in audio of any length with an accuracy greater than 85%. Furthermore, due to its architecture, the network can detect more than one species from audio and can carry out near-real-time sound recognition. Additionally, the proposed method is lightweight, making it ideal for deployment and use in IoT devices. The study also presents a comparative analysis of the proposed method against other techniques, demonstrating an improvement of over 67% in the best-case scenario. These findings contribute to advancing the field of bird sound recognition and provide valuable insights into the practical application of FCNs in real-world scenarios.

Published
2024
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6. Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol

Author

Alaiz-Moreton, Hector, Aveleira-Mata, Jose, Ondicol-Garcia, Jorge, Muñoz-Castañeda, Angel Luis, García, Isaías, and Benavides, Carmen

Subjects
Computer Science - Machine Learning, Computer Science - Cryptography and Security, I.2.0
Abstract

The large number of sensors and actuators that make up the Internet of Things obliges these systems to use diverse technologies and protocols. This means that IoT networks are more heterogeneous than traditional networks. This gives rise to new challenges in cybersecurity to protect these systems and devices which are characterized by being connected continuously to the Internet. Intrusion detection systems (IDS) are used to protect IoT systems from the various anomalies and attacks at the network level. Intrusion Detection Systems (IDS) can be improved through machine learning techniques. Our work focuses on creating classification models that can feed an IDS using a dataset containing frames under attacks of an IoT system that uses the MQTT protocol. We have addressed two types of method for classifying the attacks, ensemble methods and deep learning models, more specifically recurrent networks with very satisfactory results.

Published
2024
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7. Survival and grade of the glioma prediction using transfer learning

Author

Rubio, Santiago Valbuena, García-Ordás, María Teresa, Olivera, Oscar García-Olalla, Alaiz-Moretón, Héctor, González-Alonso, Maria-Inmaculada, and Benítez-Andrades, José Alberto

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Glioblastoma is a highly malignant brain tumor with a life expectancy of only 3 to 6 months without treatment. Detecting and predicting its survival and grade accurately are crucial. This study introduces a novel approach using transfer learning techniques. Various pre-trained networks, including EfficientNet, ResNet, VGG16, and Inception, were tested through exhaustive optimization to identify the most suitable architecture. Transfer learning was applied to fine-tune these models on a glioblastoma image dataset, aiming to achieve two objectives: survival and tumor grade prediction.The experimental results show 65% accuracy in survival prediction, classifying patients into short, medium, or long survival categories. Additionally, the prediction of tumor grade achieved an accuracy of 97%, accurately differentiating low-grade gliomas (LGG) and high-grade gliomas (HGG). The success of the approach is attributed to the effectiveness of transfer learning, surpassing the current state-of-the-art methods. In conclusion, this study presents a promising method for predicting the survival and grade of glioblastoma. Transfer learning demonstrates its potential in enhancing prediction models, particularly in scenarios with limited large datasets. These findings hold promise for improving diagnostic and treatment approaches for glioblastoma patients.

Published
2024
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8. Diabetes detection using deep learning techniques with oversampling and feature augmentation

Author

García-Ordás, María Teresa, Benavides, Carmen, Benítez-Andrades, José Alberto, Alaiz-Moretón, Héctor, and García-Rodríguez, Isaías

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Background and objective: Diabetes is a chronic pathology which is affecting more and more people over the years. It gives rise to a large number of deaths each year. Furthermore, many people living with the disease do not realize the seriousness of their health status early enough. Late diagnosis brings about numerous health problems and a large number of deaths each year so the development of methods for the early diagnosis of this pathology is essential. Methods: In this paper, a pipeline based on deep learning techniques is proposed to predict diabetic people. It includes data augmentation using a variational autoencoder (VAE), feature augmentation using an sparse autoencoder (SAE) and a convolutional neural network for classification. Pima Indians Diabetes Database, which takes into account information on the patients such as the number of pregnancies, glucose or insulin level, blood pressure or age, has been evaluated. Results: A 92.31% of accuracy was obtained when CNN classifier is trained jointly the SAE for featuring augmentation over a well balanced dataset. This means an increment of 3.17% of accuracy with respect the state-of-the-art. Conclusions: Using a full deep learning pipeline for data preprocessing and classification has demonstrate to be very promising in the diabetes detection field outperforming the state-of-the-art proposals.

Published
2024
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9. Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network

Author

García-Ordás, María Teresa, Alaiz-Moretón, Héctor, Benítez-Andrades, José Alberto, García-Rodríguez, Isaías, García-Olalla, Oscar, and Benavides, Carmen

Subjects
Computer Science - Sound, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

In this work, a sentiment analysis method that is capable of accepting audio of any length, without being fixed a priori, is proposed. Mel spectrogram and Mel Frequency Cepstral Coefficients are used as audio description methods and a Fully Convolutional Neural Network architecture is proposed as a classifier. The results have been validated using three well known datasets: EMODB, RAVDESS, and TESS. The results obtained were promising, outperforming the state-of-the-art methods. Also, thanks to the fact that the proposed method admits audios of any size, it allows a sentiment analysis to be made in near real time, which is very interesting for a wide range of fields such as call centers, medical consultations, or financial brokers.

Published
2024
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10. Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data

Author

García-Ordás, María Teresa, Benítez-Andrades, José Alberto, García-Rodríguez, Isaías, Benavides, Carmen, and Alaiz-Moretón, Héctor

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

The aim of this paper was the detection of pathologies through respiratory sounds. The ICBHI (International Conference on Biomedical and Health Informatics) Benchmark was used. This dataset is composed of 920 sounds of which 810 are of chronic diseases, 75 of non-chronic diseases and only 35 of healthy individuals. As more than 88% of the samples of the dataset are from the same class (Chronic), the use of a Variational Convolutional Autoencoder was proposed to generate new labeled data and other well known oversampling techniques after determining that the dataset classes are unbalanced. Once the preprocessing step was carried out, a Convolutional Neural Network (CNN) was used to classify the respiratory sounds into healthy, chronic, and non-chronic disease. In addition, we carried out a more challenging classification trying to distinguish between the different types of pathologies or healthy: URTI, COPD, Bronchiectasis, Pneumonia, and Bronchiolitis. We achieved results up to 0.993 F-Score in the three-label classification and 0.990 F-Score in the more challenging six-class classification.

Published
2024
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11. An Ontology-Based multi-domain model in Social Network Analysis: Experimental validation and case study

Author

Benítez-Andrades, José Alberto, García-Rodríguez, Isaías, Benavides, Carmen, Aláiz-Moretón, Héctor, and Gayo, José Emilio Labra

Subjects
Computer Science - Social and Information Networks, Computer Science - Artificial Intelligence
Abstract

The use of social network theory and methods of analysis have been applied to different domains in recent years, including public health. The complete procedure for carrying out a social network analysis (SNA) is a time-consuming task that entails a series of steps in which the expert in social network analysis could make mistakes. This research presents a multi-domain knowledge model capable of automatically gathering data and carrying out different social network analyses in different domains, without errors and obtaining the same conclusions that an expert in SNA would obtain. The model is represented in an ontology called OntoSNAQA, which is made up of classes, properties and rules representing the domains of People, Questionnaires and Social Network Analysis. Besides the ontology itself, different rules are represented by SWRL and SPARQL queries. A Knowledge Based System was created using OntoSNAQA and applied to a real case study in order to show the advantages of the approach. Finally, the results of an SNA analysis obtained through the model were compared to those obtained from some of the most widely used SNA applications: UCINET, Pajek, Cytoscape and Gephi, to test and confirm the validity of the model.

Published
2024
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12. Missing Meteorological Data Imputation for Mini Eolic Electrical Power Prediction

Author

García-Ordás, María Teresa, Díaz-Longueira, Antonio, Michelena, Álvaro, Jove, Esteban, Bayón-Gutiérrez, Martín, Alaiz-Moretón, Héctor, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Quintián, Héctor, editor, Corchado, Emilio, editor, Troncoso Lora, Alicia, editor, Pérez García, Hilde, editor, Jove Pérez, Esteban, editor, Calvo Rolle, José Luis, editor, Martínez de Pisón, Francisco Javier, editor, García Bringas, Pablo, editor, Martínez Álvarez, Francisco, editor, Herrero, Álvaro, editor, and Fosci, Paolo, editor

Published
2025
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13. Quality of Service Enhancement for IoT-Based Smart Office System Using Ad Hoc On-Demand Distance Vector-Smart Control Ration Control Algorithm (AODV-SRCA)

Author

CheSuh, Lawrence Nforh, Fernández-Díaz, Ramón Ángel, Aveleria-Mata, Jose, Bayón-Gutiérrez, Martín, Martín, Sergio Rubio, Alaiz-Moretón, Héctor, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Quintián, Héctor, editor, Corchado, Emilio, editor, Troncoso Lora, Alicia, editor, Pérez García, Hilde, editor, Jove, Esteban, editor, Calvo Rolle, José Luis, editor, Martínez de Pisón, Francisco Javier, editor, García Bringas, Pablo, editor, Martínez Álvarez, Francisco, editor, Herrero Cosío, Álvaro, editor, and Fosci, Paolo, editor

Published
2024
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14. A Comparative Analysis of Algorithms and Metrics to Perform Clustering

Author

Rubiños, Manuel, Díaz-Longueira, Antonio, Timiraos, Míriam, Michelena, Álvaro, García-Ordás, María Teresa, Alaiz-Moretón, Héctor, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Zayas-Gato, Francisco, editor, Díaz-Longueira, Antonio, editor, Casteleiro-Roca, José-Luis, editor, and Jove, Esteban, editor

Published
2024
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16. Machine Learning Based System for Detecting Battery State-of-Health

Author

Michelena, Álvaro, Díaz-Longueira, Antonio, Timiraos, Míriam, Zayas-Gato, Francisco, Quintián, Héctor, Fernández, Natalia Prieto, Alaiz-Moretón, Héctor, Calvo-Rolle, José Luis, García-Ordás, María Teresa, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, García Bringas, Pablo, editor, Pérez García, Hilde, editor, Martínez de Pisón, Francisco Javier, editor, Martínez Álvarez, Francisco, editor, Troncoso Lora, Alicia, editor, Herrero, Álvaro, editor, Calvo Rolle, José Luis, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2023
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17. Categorization of CoAP DoS Attack Based on One-Class Boundary Methods

Author

Timiraos, Míriam, Michelena, Álvaro, Díaz-Longueira, Antonio, Jove, Esteban, Aveleira-Mata, Jose, García-Rodiguez, Isaías, Bayón-Gutiérrez, Martín, Alaiz-MoretÓn, Héctor, Calvo-Rolle, José Luis, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, García Bringas, Pablo, editor, Pérez García, Hilde, editor, Martínez de Pisón, Francisco Javier, editor, Martínez Álvarez, Francisco, editor, Troncoso Lora, Alicia, editor, Herrero, Álvaro, editor, Calvo Rolle, José Luis, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2023
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18. Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries

Author

Díaz-Longueira, Antonio, Michelena, Álvaro, Timiraos, Míriam, Zayas-Gato, Francisco, Quintián, Héctor, Cuellar, Carmen Benavides, Alaiz-Moretón, Héctor, Calvo-Rolle, José Luis, García-Ordás, María Teresa, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, García Bringas, Pablo, editor, Pérez García, Hilde, editor, Martínez de Pisón, Francisco Javier, editor, Martínez Álvarez, Francisco, editor, Troncoso Lora, Alicia, editor, Herrero, Álvaro, editor, Calvo Rolle, José Luis, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2023
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19. One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP

Author

Michelena, Álvaro, Díaz-Longueira, Antonio, Timiraos, Míriam, Jove, Esteban, Aveleira-Mata, Jose, García-Rodiguez, Isaías, García-Ordás, María Teresa, Calvo-Rolle, José Luis, Alaiz-Moretón, Héctor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, García Bringas, Pablo, editor, Pérez García, Hilde, editor, Martínez de Pisón, Francisco Javier, editor, Martínez Álvarez, Francisco, editor, Troncoso Lora, Alicia, editor, Herrero, Álvaro, editor, Calvo Rolle, José Luis, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2023
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20. Impact of Autoencoder Latent Space on IoT CoAP Attack Categorization

Author

García-Ordás, María Teresa, Aveleira-Mata, Jose, García-Rodiguez, Isaías, Díaz-Longueira, Antonio Javier, Calvo-Rolle, José-Luis, Alaiz-Moretón, Héctor, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Jove, Esteban, editor, Zayas-Gato, Francisco, editor, Michelena, Álvaro, editor, and Calvo-Rolle, José Luis, editor

Published
2023
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21. Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction

Author

Timiraos, Míriam, Díaz-Longueira, Antonio, Michelena, Álvaro, Zayas-Gato, Francisco, Quintián, Héctor, Alaiz-Moretón, Héctor, Fontenla-Romero, Óscar, Calvo-Rolle, José Luis, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Jove, Esteban, editor, Zayas-Gato, Francisco, editor, Michelena, Álvaro, editor, and Calvo-Rolle, José Luis, editor

Published
2023
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22. Denial of Service Attack Detection Based on Feature Extraction and Supervised Techniques

Author

Michelana, Álvaro, Aveleira-Mata, José, Jove, Esteban, Alaiz-Moretón, Héctor, Quintián, Héctor, Calvo-Rolle, José Luis, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Machado, José Manuel, editor, Chamoso, Pablo, editor, Hernández, Guillermo, editor, Bocewicz, Grzegorz, editor, Loukanova, Roussanka, editor, Jove, Esteban, editor, del Rey, Angel Martin, editor, and Ricca, Michela, editor

Published
2023
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24. Categorization of CoAP DoS Attack Based on One-Class Boundary Methods

Author

Timiraos, Míriam, primary, Michelena, Álvaro, additional, Díaz-Longueira, Antonio, additional, Jove, Esteban, additional, Aveleira-Mata, Jose, additional, García-Rodiguez, Isaías, additional, Bayón-Gutiérrez, Martín, additional, Alaiz-MoretÓn, Héctor, additional, and Calvo-Rolle, José Luis, additional

Published
2023
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25. Machine Learning Based System for Detecting Battery State-of-Health

Author

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

Published
2023
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29. Roadway Detection Using Convolutional Neural Network Through Camera and LiDAR Data

Author

Bayón-Gutiérrez, Martín, Benítez-Andrades, José Alberto, Rubio-Martín, Sergio, Aveleira-Mata, Jose, Alaiz-Moretón, Héctor, García-Ordás, María Teresa, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, García Bringas, Pablo, editor, Pérez García, Hilde, editor, Martínez de Pisón, Francisco Javier, editor, Villar Flecha, José Ramón, editor, Troncoso Lora, Alicia, editor, de la Cal, Enrique A., editor, Herrero, Álvaro, editor, Martínez Álvarez, Francisco, editor, Psaila, Giuseppe, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2022
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30. Intrusion Detection System for MQTT Protocol Based on Intelligent One-Class Classifiers

Author

Jove, Esteban, Aveleira-Mata, Jose, Alaiz-Moretón, Héctor, Casteleiro-Roca, José-Luis, del Blanco, David Yeregui Marcos, Zayas-Gato, Francisco, Quintián, Héctor, Calvo-Rolle, José Luis, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Corchado, Juan M., editor, and Trabelsi, Saber, editor

Published
2022
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31. Detection of Denial of Service Attacks in an MQTT Environment Using a One-Class Approach

Author

Aveleira-Mata, José, Jove, Esteban, del Blanco, David Yeregui Marcos, Ordás, María Teresa García, Zayas-Gato, Francico, Michelena, Álvaro, Casteleiro-Roca, José-Luis, Quintián, Héctor, Alaiz-Moretón, Héctor, Calvo-Rolle, José Luis, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Gude Prego, Juan José, editor, de la Puerta, José Gaviria, editor, García Bringas, Pablo, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2022
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32. Beta Hebbian Learning for Intrusion Detection in Networks of IoT Devices

Author

Grandío, Álvaro Michelena, Ordás, María Teresa García, del Blanco, David Yeregui Marcos, Aveleira-Mata, José, Zayas-Gato, Francisco, Jove, Esteban, Casteleiro-Roca, José-Luis, Quintián, Héctor, Alaiz-Moretón, Héctor, Calvo-Rolle, José Luis, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Gude Prego, Juan José, editor, de la Puerta, José Gaviria, editor, García Bringas, Pablo, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2022
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34. Comparative Analysis of Clustering Techniques for a Hybrid Model Implementation

Author

García-Ordás, María Teresa, Alaiz-Moretón, Héctor, Casteleiro-Roca, José-Luis, Jove, Esteban, Benítez-Andrades, José Alberto, García-Rodríguez, Isaías, Quintián, Héctor, Calvo-Rolle, José Luis, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Herrero, Álvaro, editor, Cambra, Carlos, editor, Urda, Daniel, editor, Sedano, Javier, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2021
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35. Comparative of Clustering Techniques for Academic Advice and Performance Measurement

Author

García-Ordás, María Teresa, López-Vázquez, José Antonio, Alaiz-Moretón, Héctor, Casteleiro-Roca, José Luis, del Blanco, David Yeregui Marcos, Casado-Vara, Roberto, Calvo-Rolle, José Luis, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Herrero, Álvaro, editor, Cambra, Carlos, editor, Urda, Daniel, editor, Sedano, Javier, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2021
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36. Hybrid Model to Calculate the State of Charge of a Battery

Author

Ordás, María Teresa García, Blanco, David Yeregui Marcos del, Aveleira-Mata, José, Zayas-Gato, Francisco, Jove, Esteban, Casteleiro-Roca, José-Luis, Quintián, Héctor, Calvo-Rolle, José Luis, Alaiz-Moretón, Héctor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sanjurjo González, Hugo, editor, Pastor López, Iker, editor, García Bringas, Pablo, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2021
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38. Analyzing IoT-Based Botnet Malware Activity with Distributed Low Interaction Honeypots

Author

Vidal-González, Sergio, García-Rodríguez, Isaías, Aláiz-Moretón, Héctor, Benavides-Cuéllar, Carmen, Benítez-Andrades, José Alberto, García-Ordás, María Teresa, Novais, Paulo, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Rocha, Álvaro, editor, Adeli, Hojjat, editor, Reis, Luís Paulo, editor, Costanzo, Sandra, editor, Orovic, Irena, editor, and Moreira, Fernando, editor

Published
2020
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39. Functional Prototype for Intrusion Detection System Oriented to Intelligent IoT Models

Author

Aveleira-Mata, Jose, Alaiz-Moreton, Hector, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Novais, Paulo, editor, Lloret, Jaime, editor, Chamoso, Pablo, editor, Carneiro, Davide, editor, Navarro, Elena, editor, and Omatu, Sigeru, editor

Published
2020
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40. A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes

Author

Casteleiro-Roca, José-Luis, García-Ordás, María Teresa, Jove, Esteban, Zayas-Gato, Francisco, Quintián, Héctor, Alaiz-Moretón, Héctor, Calvo-Rolle, José Luis, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Analide, Cesar, editor, Novais, Paulo, editor, Camacho, David, editor, and Yin, Hujun, editor

Published
2020
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41. Autoencoder Latent Space Influence on IoT MQTT Attack Classification

Author

García-Ordás, María Teresa, Aveleira-Mata, Jose, Casteleiro-Roca, José-Luis, Calvo-Rolle, José Luis, Benavides-Cuellar, Carmen, Alaiz-Moretón, Héctor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Analide, Cesar, editor, Novais, Paulo, editor, Camacho, David, editor, and Yin, Hujun, editor

Published
2020
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42. Clustering Techniques Performance Analysis for a Solar Thermal Collector Hybrid Model Implementation

Author

García-Ordás, María Teresa, Alaiz-Moretón, Héctor, Casteleiro-Roca, José-Luis, Jove, Esteban, Andrades, José Alberto Benítez, Cuellar, Carmen Benavides, Quintián, Héctor, Calvo-Rolle, José Luis, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, de la Cal, Enrique Antonio, editor, Villar Flecha, José Ramón, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2020
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43. E-Voting System Evaluation Based on the Council of Europe Recommendations: nVotes

Author

Marcos del Blanco, David Yeregui, Duenas-Cid, David, Aláiz Moretón, Héctor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Krimmer, Robert, editor, Volkamer, Melanie, editor, Beckert, Bernhard, editor, Küsters, Ralf, editor, Kulyk, Oksana, editor, Duenas-Cid, David, editor, and Solvak, Mihkel, editor

Published
2020
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50. Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach

Author

García-Ordás, María Teresa, Marcos del Blanco, David Yeregui, Aveleira Mata, Jose Antonio, Zayas-Gato, Francisco, Jove, Esteban, Casteleiro-Roca, José-Luis, Quintián, Héctor, Calvo-Rolle, José Luis, Alaiz Moretón, Héctor, García-Ordás, María Teresa, Marcos del Blanco, David Yeregui, Aveleira Mata, Jose Antonio, Zayas-Gato, Francisco, Jove, Esteban, Casteleiro-Roca, José-Luis, Quintián, Héctor, Calvo-Rolle, José Luis, and Alaiz Moretón, Héctor

Abstract

[Abstract] Batteries are a fundamental storage component due to its various applications in mobility, renewable energies and consumer electronics among others. Regardless of the battery typology, one key variable from a user’s perspective is the remaining energy in the battery. It is usually presented as the percentage of remaining energy compared to the total energy that can be stored and is labeled State Of Charge (SOC). This work addresses the development of a hybrid model based on a Lithium Iron Phosphate (LiFePO4) power cell, due to its broad implementation. The proposed model calculates the SOC, by means of voltage and electric current as inputs and the latter as the output. Therefore, four models based on k-Means, Agglomerative Clustering, Gaussian Mixture and Spectral Clustering techniques have been tested in order to obtain an optimal solution.

Published
2024

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