most citedMulticlass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol

146 citations · 418 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CR2026

Influence of Autoencoder Latent Space on Classifying IoT CoAP Attacks

María Teresa García-Ordás, Jose Aveleira-Mata, Isaías García-Rodríguez +3

The Internet of Things (IoT) presents a unique cybersecurity challenge due to its vast network of interconnected, resource-constrained devices. These vulnerabilities not only threa…

cs.CV2024★ 6 cited

TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection

Martín Bayón-Gutiérrez, María Teresa García-Ordás, Héctor Alaiz Moretón +3

Robust road surface estimation is required for autonomous ground vehicles to navigate safely. Despite it becoming one of the main targets for autonomous mobility researchers in rec…

cs.AI2024★ 20 cited

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

José Alberto Benítez-Andrades, Isaías García-Rodríguez, Carmen Benavides +2

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…

cs.MA2024★ 3 cited

Middleware-based multi-agent development environment for building and testing distributed intelligent systems

Francisco José Aguayo-Canela, Héctor Alaiz-Moretón, María Teresa García-Ordás +4

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 exist…

cs.MA2024★ 6 cited

Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments

Francisco José Aguayo-Canela, Héctor Alaiz-Moretón, María Teresa García-Ordás +3

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 envir…

cs.LG2024★ 17 cited

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

María Teresa García-Ordás, Héctor Alaiz-Moretón, José-Luis Casteleiro-Roca +5

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…

cs.SD2024★ 18 cited

Multispecies bird sound recognition using a fully convolutional neural network

María Teresa García-Ordás, Sergio Rubio-Martín, José Alberto Benítez-Andrades +2

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 th…

cs.LG2024★ 146 cited

Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol

Hector Alaiz-Moreton, Jose Aveleira-Mata, Jorge Ondicol-Garcia +3

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…

cs.CV2024★ 9 cited

Survival and grade of the glioma prediction using transfer learning

Santiago Valbuena Rubio, María Teresa García-Ordás, Oscar García-Olalla Olivera +3

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 crucia…

cs.SD2024★ 40 cited

Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network

María Teresa García-Ordás, Héctor Alaiz-Moretón, José Alberto Benítez-Andrades +3

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 Co…

cs.CV2024★ 127 cited

Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data

María Teresa García-Ordás, José Alberto Benítez-Andrades, Isaías García-Rodríguez +2

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. Thi…

cs.SI2024★ 26 cited

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

José Alberto Benítez-Andrades, Isaías García-Rodríguez, Carmen Benavides +2

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…