Listar IC - Artículos por título
Mostrando ítems 70-89 de 182
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EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia
Rodríguez-Rodríguez, Ignacio; Ortiz-García, Andrés
; Gallego-Molina, Nicolás J.; Formoso, Marco A.; Woo, Wai Lok (International Journal of Neural Systems, 2023)
While the brain connectivity network can inform the understanding and diagnosis of developmental dyslexia, its cause-effect relationships have not yet enough been examined. Employing electroencephalography signals and ... -
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-Aguilar, Francisco 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 ... -
End-launcher repeatability in broadband methods for characterization of the propagation constant of transmission lines using two-port measurements.
Pérez-Escribano, Mario; Márquez-Segura, Enrique (IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022-04-09)
This work presents an analysis of the influence of connector repeatability in three different methods for estimating the propagation constant of transmission lines from two-port measurements. For this purpose, the repeatability ... -
Energy-based features and bi-LSTM neural network for EEG-based music and voice classification.
Ariza Cervera, Isaac; Barbancho-Pérez, Ana María; Tardón-García, Lorenzo José; Barbancho-Pérez, Isabel (Springer, 2023-09-11)
The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning, etc. In this context, the aim of this ... -
An energy-efficient integration of a digital modulator and a Class-D amplifier
Zia, Muhammad Yousuf Irfan; Tierno, Raúl; Luque-Nieto, Miguel Ángel; Otero-Roth, Pablo (MDPI, 2020-08-16)
Energy consumption is always a key feature in devices powered by electric accumulators. The power amplifier is the most energy-demanding module in mobile devices, portable appliances, static transceivers, and even nodes ... -
Energy-Efficient Packet Forwarding Scheme Based on Fuzzy Decision-Making in Underwater Sensor Networks
Pabani, Jitander Kumar; Luque-Nieto, Miguel Ángel; Hyder, Waheeduddin; Otero-Roth, Pablo (MDPI, 2021-06-25)
Underwater Wireless Sensor Networks (UWSNs) are subjected to a multitude of real-life challenges. Maintaining adequate power consumption is one of the critical ones, for obvious reasons. This includes proper energy consumption ... -
Energy-Efficient Routing Protocol for Selecting Relay Nodes in Underwater Sensor Networks Based on Fuzzy Analytical Hierarchy Process
Kumar, Jitander; Luque-Nieto, Miguel Ángel; Hyder, Waheeduddin; Ariza-Quintana, Alfonso (IOAP-MDPI, 2022-11-18)
The use of underwater sensor networks (UWSNs) offers great advantages in many automatic observation services such as water monitoring (ocean, sea, etc.) and registering of geological events (landslides, earthquakes). ... -
Enhanced average for event-related potential analysis using dynamic time warping
Molina-Molina, Mario; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; De Torres García, Irene; Barbancho-Pérez, Isabel (Elsevier, 2023-10-05)
Electroencephalography (EEG) provides a way to understand, and evaluate neurotransmission. In this context, time-locked EEG activity or event-related potentials (ERPs) are often used to capture neural activity related to ... -
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.
Arco, Juan E.; Ortiz-García, Andrés; Gallego-Molina, Nicolás J.; Górriz-Sáez, Juan Manuel; Ramírez, Javier (World Scientific, 2023-02-18)
The combination of different sources of information is currently one of the most relevant aspects in the diagnostic process of several diseases. In the field of neurological disorders, different imaging modalities providing ... -
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 ... -
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. ... -
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer’s disease progression.
Arco, Juan E.; Ortiz-García, Andrés; Castillo-Barnes, Diego; Górriz-Sáez, Juan Manuel; Ramírez, Javier (Elsevier, 2023-01-06)
The development of methods based on artificial intelligence for the classification of medical imaging is widespread. Given the high dimensionality of this type of images, it is imperative to use the information contained ... -
Exploring the Validity of Plane and Spherical Millimeter-Wave Incidences for Multiple-Diffraction Calculations in Wireless Communication Systems.
(MDPI, 2023-04-27)The focus of this work is to determine at which threshold can the results for both plane and spherical wave incidence assumptions either converge or deviate when performing multiple diffraction attenuation calculations. ... -
Extreme eigenvalue distributions of Jacobi ensembles: new exact representations, asymptotics and finite size corrections
Moreno-Pozas, Laureano; Morales-Jiménez, David; Mckay, Matthew R. (Elsevier, 2019-10)
Let W1 and W2 be independent complex central Wishart matrices with m1 and m2 degrees of freedom respectively. This paper is concerned with the extreme eigenvalue distributions of double-Wishart matrices (W1+W2)^-1 W1, which ... -
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 ... -
Forecasting glycaemia for type 1 diabetes mellitus patients by means of IoMT devices
(Elsevier, 2023-09-22)The chronic metabolic condition, Type 1 diabetes mellitus (DM1), is marked by consistent hyperglycemia due to the body's inability to produce sufficient insulin. This necessitates the patient's daily monitoring of blood ... -
Frequency locked loop architecture for phase noise reduction in wideband low-noise microwave oscillators.
Ávila Ruiz, Juan Manuel; Moreno-Pozas, Laureano; Durán Valdeiglesias, Elena; Moscoso Mártir, Álvaro; Molina-Fernández, Íñigo; De-Oliva-Rubio, José[et al.] (Wiley, 2013)
A frequency locked loop (FLL) for phase noise reduction of wideband voltage controlled oscillators is proposed. The key building block of the system is a low noise (−160 dBV/Hz) and high sensitivity (22 V/GHz) delay line ... -
Frequency-tuning dual-comb spectroscopy using silicon Mach-Zehnder modulators.
Deniel, Lucas; Weckenmann, Erwan; Pérez-Galacho, Diego; Alonso-Ramos, Carlos; Boeuf, Frederic; Vivien, Laurent; Marris-Morini, Delphine[et al.] (Optica, 2020)
Dual-comb spectroscopy using a silicon Mach-Zehnder modulator is reported for the first time. First, the properties of frequency combs generated by silicon modulators are assessed in terms of tunability, coherence, and ... -
Further Improvements in SOVA for High-Throughput Parallel Turbo Decoding.
Martín-Vega, Francisco-Javier; Blánquez-Casado, Francisco; López-Martínez, F. Javier; Gómez-Paredes, Gerardo; Entrambasaguas-Muñoz, José Tomás (IEEE Xplore, 2014-11-14)
In this letter, we present two mechanisms based on soft-output Viterbi algorithm (SOVA) technique that achieve a performance close to maximum a-posteriori (MAP) decoding. First, we propose a new technique called alternating ... -
Gaming in the cloud: 5G as the pillar for future gaming approaches
Baena, Carlos; Fortes-Rodríguez, Sergio; Peñaherrera-Pulla, Oswaldo Sebastián; Baena-Martínez, Eduardo; Barco-Moreno, Raquel (IEEE, 2024-11)
One key element in the future of the video game industry is the adoption of the cloud gaming paradigm. This model allows high-quality and on-the-move gaming experiences in terminals with minimal capacity. However, such an ...