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Chapter and Conference Paper
Missing Meteorological Data Imputation for Mini Eolic Electrical Power Prediction
The continuous rising trend shown by greenhouse emissions has led to a global situation in which the promotion of clean alternative technologies is crucial. In this context, small green power self-consumption ...
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Article
Open AccessEnhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
The main aim of our study was to explore the utility of artificial intelligence (AI) in diagnosing autism spectrum disorder (ASD). The study primarily focused on using machine learning (ML) and deep learning (...
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Article
Open AccessDetermining the severity of Parkinson’s disease in patients using a multi task neural network
Parkinson’s disease is easy to diagnose when it is advanced, but it is very difficult to diagnose in its early stages. Early diagnosis is essential to be able to treat the symptoms. It impacts on daily activit...
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Article
Open AccessConvolutional neural networks for accurate identification of mining remains from UAV-derived images
A new deep learning system is proposed for the rapid and accurate identification of anthropogenic elements of the Roman mining infrastructure in NW Iberia, providing a new approach for automatic recognition of...
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Article
A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF)
Tree ensemble algorithms as RandomForest and GradientBoosting are currently the dominant methods for modeling discrete or tabular data, however, they are unable to perform a hierarchical representation learnin...
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Article
Multispecies bird sound recognition using a fully convolutional neural network
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 wh...
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Article
Open AccessHeart disease risk prediction using deep learning techniques with feature augmentation
Cardiovascular diseases state as one of the greatest risks of death for the general population. Late detection in heart diseases highly conditions the chances of survival for patients. Age, sex, cholesterol le...
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Chapter and Conference Paper
Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries
At present, energy storage systems are becoming a key factor for technological development in different fields, such as electric mobility or the improvement of energy production systems towards renewable energ...
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Chapter and Conference Paper
Impact of Autoencoder Latent Space on IoT CoAP Attack Categorization
The Internet of Things (IoT) encompasses a vast network of interconnected devices and systems, usually with limited computational power, memory, and energy resources. These characteristics make IoT ecosystems ...
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Chapter and Conference Paper
One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP
Denial of Service (DoS) attack over Internet of Things (IoT) is among the most prevalent cyber threat, their complex behavior makes very expensive the use of Datagram Transport Layer Security (DTLS) for securi...
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Chapter and Conference Paper
Machine Learning Based System for Detecting Battery State-of-Health
In different fields, such as electric mobility, the increasing use of small consumer electronics devices, and the development of renewable energy alternatives, energy storage systems have become crucial to tec...
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Chapter and Conference Paper
Beta Hebbian Learning for Intrusion Detection in Networks of IoT Devices
This research paper is focused on security in IoT devices network, by providing a visual tool based on Beta Hebbian Learning (BHL) to easily identify attacks in the network to human experts. Contrary to Artifi...
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Chapter and Conference Paper
Detection of Denial of Service Attacks in an MQTT Environment Using a One-Class Approach
Nowadays, Internet of things (IoT) systems add connectivity to physical and common objects offering new possibilities, this systems have special features such as the low capacity of the devices and behaviour o...
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Chapter and Conference Paper
BERT Model-Based Approach for Detecting Racism and Xenophobia on Twitter Data
The large amount of data generated on social networks makes the task of moderating textual content written by users complex and impossible to do manually. One of the most prominent problems on social networks ...
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Chapter and Conference Paper
Roadway Detection Using Convolutional Neural Network Through Camera and LiDAR Data
Roadway detection is one of the main topics that autonomous vehicles must face to safety navigate along roads. In this paper, we present the architecture and results of a roadway detection system which uses bo...
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Article
Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments
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 ...
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Article
Middleware-based multi-agent development environment for building and testing distributed intelligent systems
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 applie...
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Chapter and Conference Paper
Correction to: Hybrid Model to Calculate the State of Charge of a Battery
In an older version of this paper, the “s” was missing from the first name of Francisco Zayas-Gato. This has been corrected.
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Chapter and Conference Paper
Comparative Analysis of Clustering Techniques for a Hybrid Model Implementation
This research is oriented to compare the performance of two clustering methods in order to know what is the best one for archiving high quality hybrid models. For testing purposes, a real dataset has been obta...
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Chapter and Conference Paper
Hybrid Model to Calculate the State of Charge of a Battery
Batteries are one of the most important component in an energy storage system; they are used mainly in electric mobility, consumer electronic and some other devices. Nowadays the common battery type is the liq...