Publikationen, an denen er mitarbeitet María Del Carmen Benavides Cuéllar (39)

2024

  1. Improve quality of service for the Internet of Things using Blockchain & machine learning algorithms

    Internet of Things (Netherlands), Vol. 26

2023

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

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. Minimum cost Eulerian cycles in road networks

    Iberian Conference on Information Systems and Technologies, CISTI

2021

  1. BERT model-based approach for detecting categories of tweets in the field of eating disorders (ED)

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  2. Diabetes detection using deep learning techniques with oversampling and feature augmentation

    Computer Methods and Programs in Biomedicine, Vol. 202

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

    Journal of Supercomputing, Vol. 77, Núm. 11, pp. 13046-13068

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

    Cluster Computing, Vol. 24, Núm. 3, pp. 2313-2325

  5. Prototipo de IDS para detección de intrusiones con modelos de machine learning en sistemas IoT de la Industria 4.0

    Revista DYNA, Vol. 96, Núm. 3, pp. 270-275

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

    Biomedical Signal Processing and Control, Vol. 69

2020

  1. An ontology-based multi-domain model in social network analysis: Experimental validation and case study

    Information Sciences, Vol. 540, pp. 390-413

  2. Analyzing IoT-Based botnet malware activity with distributed low interaction honeypots

    Advances in Intelligent Systems and Computing

  3. Autoencoder Latent Space Influence on IoT MQTT Attack Classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Autoencoder Latent Space Influence on IoT MQTT Attack Classification

    Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference: Guimarães, Portugal; November 4–6, 2020. Proceedings

  5. Clustering Techniques Performance Analysis for a Solar Thermal Collector Hybrid Model Implementation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Detecting respiratory pathologies using convolutional neural networks and variational autoencoders for unbalancing data

    Sensors (Switzerland), Vol. 20, Núm. 4

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

    Future Generation Computer Systems, Vol. 106, pp. 154-170

2019

  1. A FIPA-compliant framework for integrating rule engines into software agents for supporting communication and collaboration in a multiagent platform

    Advances in Intelligent Systems and Computing

  2. Aprendizaje de sensorizado de entornos IoT mediante BeagleBone

    XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019

  3. Aprendizaje interdisciplinar mediante trabajos cooperativos en el ámbito de las nuevas tecnologías de la información y las comunicaciones y las ciencias de la salud

    Premios a la innovación en la enseñanza, Núm. 18, pp. 9-31

  4. Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol

    Complexity, Vol. 2019