Listar IC - Artículos por fecha de publicación
Mostrando ítems 1-20 de 72
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Feature selection by multi-objective optimization: application to network anomaly detection by hierarchical self-organizing maps.
De la Hoz Franco, Emiro; De la Hoz Correa, Eduardo; Ortiz-García, Andrés
; Ortega, Julio; Martínez-Álvarez, Antonio (Elsevier, 2014-08-20)
Feature selection is an important and active issue in clustering and classification problems. By choosing an adequate feature subset, a dataset dimensionality reduction is allowed, thus contributing to decreasing the ... -
Asymptotically Exact Approximations for the Symmetric Difference of Generalized Marcum-Q Functions
In this paper, we derive two simple and asymptotically exact approximations for the function defined as ΔQm(a, b) =Δ Qm(a, b) - Qm(b, a). The generalized Marcum Q-function Qm(a, b) appears in many scenarios in communications ... -
PCA filtering and Probabilistic SOM for Network Intrusion Detection.
De la Hoz Correa, Eduardo; De la Hoz Franco, Emiro; Ortiz-García, Andrés; Ortega, Julio; Prieto, Beatriz (Elsevier, 2015-09-21)
The growth of the Internet and, consequently, the number of interconnected computers, has exposed significant amounts of information to intruders and attackers. Firewalls aim to detect violations according to a predefined ... -
Optimal Fair Scheduling in S-TDMA Sensor Networks for Monitoring River Plumes
Luque-Nieto, Miguel Ángel; Moreno-Roldán, José Miguel; Poncela-González, Javier; Otero-Roth, Pablo (Hindawi Publishing Corporation, 2016)
Underwater wireless sensor networks (UWSNs) are a promising technology to provide oceanographers with environmental data in real time. Suitable network topologies to monitor estuaries are formed by strings coming together ... -
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease.
Ortiz-García, Andrés; Munilla-Fajardo, Jorge; Górriz-Sáez, Juan Manuel; Ramírez, Javier (World Scientific, 2016-08-01)
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer’s Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. ... -
A MATLAB program for the computation of the confluent hypergeometric function Φ2
Martos-Naya, Eduardo; Romero-Jerez, Juan Manuel; Lopez-Martinez, F. Javier; París-Ángel, José Francisco (2016-09-22)
We here present a sample MATLAB program for the numerical evaluation of the confluent hypergeometric function Φ2. This program is based on the calculation of the inverse Laplace transform using the algorithm suggested by ... -
A New Framework for the Performance Analysis of Wireless Communications under Hoyt (Nakagami-q) Fading
Romero-Jerez, Juan Manuel; Lopez-Martinez, F. Javier (IEEE, 2017)
We present a novel relationship between the distribution of circular and non-circular complex Gaussian random variables. Specifically, we show that the distribution of the squared norm of a non-circular complex Gaussian ... -
The Fluctuating Two-Ray Fading Model: Statistical Characterization and Performance Analysis
Romero-Jerez, Juan Manuel; Lopez-Martinez, F. Javier; París-Ángel, José Francisco; Goldsmith, Andrea (IEEE, 2017)
We introduce the fluctuating two-ray (FTR) fading model, a new statistical channel model that consists of two fluctuating specular components with random phases plus a diffuse component. The FTR model arises as the natural ... -
On the Calculation of the Incomplete MGF with Applications to Wireless Communications
The incomplete moment generating function (IMGF) has paramount relevance in communication theory, since it appears in a plethora of scenarios when analyzing the performance of communication systems. We here present a general ... -
The κ-µ Shadowed Fading Model with Integer Fading Parameters
We show that the popular and general κ-μ shadowed fading model with integer fading parameters μ and m can be represented as a mixture of squared Nakagami- m̂ (or Gamma) distributions. Thus, its PDF and CDF can be expressed ... -
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
Ramírez, Javier; Górriz-Sáez, Juan Manuel; Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Segovia, Fermín; Salas-González, Diego; Castillo-Barnes, Diego; Álvarez-Illán, Ignacio; Puntonet, Carlos[et al.] (Elsevier, 2017-12-11)
Background: Alzheimer’s disease (AD) is the most common cause of dementia in the elderly and affects approximately 30 million individuals worldwide. Mild cognitive impairment (MCI) is very frequently a prodromal phase of ... -
Discriminative Sparse Features for Alzheimer’s Disease Diagnosis using multimodal image data.
Ortiz-García, Andrés; Lozano Cuadra, Federico; Górriz-Sáez, Juan Manuel; Ramírez, Javier; Martínez-Murcia, Francisco Jesús (Bentham Science, 2018-01-01)
Feature extraction in medical image processing still remains a challenge, especially in high-dimensionality datasets, where the expected number of available samples is considerably lower than the dimension of the feature ... -
Optimal scheduling and fair servicepolicy for STDMA in underwater networks with acoustic communications
Luque-Nieto, Miguel Ángel; Moreno-Roldán, José-Miguel; Otero-Roth, Pablo; Poncela-González, Javier (MDPI, 2018-02)
In this work, a multi-hop string network with a single sink node is analyzed. A periodic optimal scheduling for TDMA operation that considers the characteristic long propagation delay of the underwater acoustic channel is ... -
Label Aided Deep Ranking for the Automatic Diagnosis of Parkinsonian Syndromes.
Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Munilla-Fajardo, Jorge; Górriz-Sáez, Juan Manuel; Ramírez, Javier (Elsevier, 2018-10-16)
Parkinsonism is the second most common neurodegenerative disease in the world. Its diagnosis usually relies on visual analysis of Emission Computed Tomography (SPECT) images acquired using 123I − io f lupane radiotracer. ... -
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling.
Ortiz-García, Andrés; Munilla-Fajardo, Jorge; Martínez-Murcia, Francisco Jesús; Górriz-Sáez, Juan Manuel; Ramírez, Javier (World Scientific, 2018-10-16)
Medical image classification is currently a challenging task that can be used to aid the diagnosis of different brain diseases. Thus, exploratory and discriminative analysis techniques aiming to obtain representative ... -
Tilted subwavelength gratings: controlling anisotropy in metamaterial nanophotonic waveguides
Luque-González, José Manuel; Herrero-Bermello, Alaine; Ortega-Moñux, Alejandro; Molina-Fernández, Íñigo; Halir, Robert; Wang, Shurui; Schmid, Jens H.; Cheben, Pavel; Velasco, Aitor V.[et al.] (2018-10-24)
Subwavelength grating (SWG) structures are an essential tool in silicon photonics, enabling the synthesis of metamaterials with a controllable refractive index. Here we propose, for the first time to the best of our ... -
Granger Causality-based Information Fusion Applied to Electrical Measurements from Power Transformers.
Rodríguez-Rivero, Jacob; Ramírez, Javier; Martínez-Murcia, Francisco Jesús; Segovia, Fermín; Ortiz-García, Andrés; Salas-González, Diego; Castillo-Barnes, Diego; Álvarez-Illán, Ignacio; Puntonet, Carlos; Jiménez-Mesa, Carmen; Leiva, Francisco J.; Carrillo, Susana; Suckling, John; Górriz-Sáez, Juan Manuel[et al.] (Elsevier, 2019-05-01)
In the immediate future, with the increasing presence of electrical vehicles and the large increase in the use of renewable energies, it will be crucial that distribution power networks are managed, supervised and exploited ... -
Self-Organizing and Scalable Routing Protocol (SOSRP) for Underwater Acoustic Sensor Networks
Kumar Hindu, Sateesh; Hyder, Waheeduddin; Luque-Nieto, Miguel Ángel; Otero-Roth, Pablo; Poncela-González, Javier (MDPI, 2019-07-16)
Underwater Acoustic Sensor Networks (UASN) have two important limitations: a very aggressive (marine) environment, and the use of acoustic signals. This means that the techniques for terrestrial wireless sensor networks ... -
An Extensive Validation of a SIR Epidemic Model to Study the Propagation of Jamming Attacks against IoT Wireless Networks.
Lopez Delgado, Miguel; Peinado-Domínguez, Alberto; Ortiz-García, Andrés (Elsevier, 2019-10-21)
This paper describes the utilization of an epidemic approach to study the propagation of jamming attacks, which can affect to different communication layers of all nodes in a variety of Internet of Things (IoT) ... -
A data-driven scheduler model for QoE assessment in a LTE radio network planning tool
Sánchez Ordóñez, Pablo Antonio; Luna-Ramírez, Salvador; Gijón-Martín, Carolina; Toril-Genovés, Matías; Bejarano-Luque, Juan Luis (2019-11-19)
The use of static system-level simulators is common practice for estimating the impact of re-planning actions in cellular networks. In this paper, a modification of a classical static Long Term Evolution (LTE) simulator ...