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View article: Service discovery suite for user-centric service creation
Service discovery suite for user-centric service creation Open
Two emerging trends are impacting the CIT world: service orientation and user centricity. The OPUCE project aims at developing a platform to mix together both philosophies into an environment where end-users are capable of building highly …
View article: Oribatid mites in different Mediterranean crop rotations fertilized with animal droppings
Oribatid mites in different Mediterranean crop rotations fertilized with animal droppings Open
Unsustainable soil management is one of the drivers of soil degradation, but impact assessment requires the development of indicators. Oribatids might be considered as early indicators of disturbances due to the stability of their communit…
View article: Graph Neural Network contextual embedding for Deep Learning on Tabular Data
Graph Neural Network contextual embedding for Deep Learning on Tabular Data Open
All industries are trying to leverage Artificial Intelligence (AI) based on their existing big data which is available in so called tabular form, where each record is composed of a number of heterogeneous continuous and categorical columns…
View article: Bundling Impacts in Spanish Telecommunications Market
Bundling Impacts in Spanish Telecommunications Market Open
Bundling is a pervasive strategy in telecommunications markets. Due to the great success obtained at Spanish Telco market, this article analyzes the impacts of the introduction of convergent bundling on that market. This commercial strateg…
View article: Low-Thrust Orbital Transfer using Dynamics-Agnostic Reinforcement Learning
Low-Thrust Orbital Transfer using Dynamics-Agnostic Reinforcement Learning Open
Low-thrust trajectory design and in-flight control remain two of the most challenging topics for new-generation satellite operations. Most of the solutions currently implemented are based on reference trajectories and lead to sub-optimal f…
View article: A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures
A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures Open
Solving computational fluid dynamics problems requires using large computational resources. The computational time and memory requirements to solve realistic problems vary from a few hours to several weeks with several processors working i…
View article: Supervised contrastive learning over prototype-label embeddings for network intrusion detection
Supervised contrastive learning over prototype-label embeddings for network intrusion detection Open
Contrastive learning makes it possible to establish similarities between samples by comparing their distances in an intermediate representation space (embedding space) and using loss functions designed to attract/repel similar/dissimilar s…
View article: Novel Data-Driven Models Applied to Short-Term Electric Load Forecasting
Novel Data-Driven Models Applied to Short-Term Electric Load Forecasting Open
This work brings together and applies a large representation of the most novel forecasting techniques, with origins and applications in other fields, to the short-term electric load forecasting problem. We present a comparison study betwee…
View article: Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting
Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting Open
This work proposes a quantile regression neural network based on a novel constrained weighted quantile loss (CWQLoss) and its application to probabilistic short and medium-term electric-load forecasting of special interest for smart grids …
View article: Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network
Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network Open
Producción Científica
View article: SARS-CoV-2 mechanisms of action and impact on human organism, risk factors and potential treatments. An exhaustive survey.
SARS-CoV-2 mechanisms of action and impact on human organism, risk factors and potential treatments. An exhaustive survey. Open
Novel COVID-19 is the most considerable health threat the humanity has faced in decades, with global impact also in the social and economic scopes. Moreover, SARS-CoV-2 involves an unprecedented exciting scientific challenge that has focus…
View article: SARS-CoV-2 mechanisms of action and impact on human organism, risk factors and potential treatments. An exhaustive survey
SARS-CoV-2 mechanisms of action and impact on human organism, risk factors and potential treatments. An exhaustive survey Open
Novel COVID-19 is the most considerable health threat the humanity has faced in decades, with global impact also in the social and economic scopes. Moreover, SARS-CoV-2 involves an unprecedented exciting scientific challenge that has focus…
View article: Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning
Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning Open
Network intrusion detection focuses on classifying network traffic as either normal or attack carrier. The classification is based on information extracted from the network flow packets. This is a complex classification problem with unbala…
View article: IoT type-of-traffic forecasting method based on gradient boosting neural networks
IoT type-of-traffic forecasting method based on gradient boosting neural networks Open
Producción Científica
View article: Adversarial environment reinforcement learning algorithm for intrusion detection
Adversarial environment reinforcement learning algorithm for intrusion detection Open
Producción Científica
View article: Exploratory study on Class Imbalance and solutions for Network Traffic Classification
Exploratory study on Class Imbalance and solutions for Network Traffic Classification Open
Producción Científica
View article: Variational data generative model for intrusion detection
Variational data generative model for intrusion detection Open
Producción Científica
View article: Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets
Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets Open
[EN] Quality of experience (QoE) is the overall acceptability of an application or service, as perceived subjectively by the end user. In particular, for video quality the QoE is dependent of video transmission parameters. To monitor and c…
View article: Intelligent IoT Traffic Classification Using Novel Search Strategy for Fast-Based-Correlation Feature Selection in Industrial Environments
Intelligent IoT Traffic Classification Using Novel Search Strategy for Fast-Based-Correlation Feature Selection in Industrial Environments Open
[EN] Internet of Things (IoT) can be combined with machine learning in order to provide intelligent applications to the network nodes. Furthermore, IoT expands these advantages and technologies to the industry. In this paper, we propose a …
View article: Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT
Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT Open
The purpose of a Network Intrusion Detection System is to detect intrusive, malicious activities or policy violations in a host or host’s network. In current networks, such systems are becoming more important as the number and variety of a…
View article: Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things Open
A network traffic classifier (NTC) is an important part of current network monitoring systems, being its task to infer the network service that is currently used by a communication flow (e.g., HTTP and SIP). The detection is based on a num…