Listar IC - Artículos por título
Mostrando ítems 62-81 de 182
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Data mining for fuzzy diagnosis systems in LTE networks.
Jatib Khatib, Emil; Barco-Moreno, Raquel
; Gómez-Andrades, Ana; Muñoz, Pablo; Serrano, Inmaculada (Elsevier, 2015-06-01)
The recent developments in cellular networks, along with the increase in services, users and the demand of high quality have raised the Operational Expenditure (OPEX). Self-Organizing Networks (SON) are the solution to ... -
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 ... -
Deep Residual Transfer Learning for Automatic Diabetic Retinopathy Grading.
Martínez-Murcia, Francisco Jesús; Ortiz-García, Andrés; Ramírez-Aguilar, Francisco Javier; Górriz-Sáez, Juan Manuel; Cruz, Ricardo (Elsevier, 2021-09-10)
Evaluation and diagnosis of retina pathology is usually made via the analysis of different image modalities that allow to explore its structure. The most popular retina image method is retinography, a technique that displays ... -
Design of a suspended germanium micro-antenna for efficient fiber-chip coupling in the long-wavelength mid-infrared range
Sánchez-Postigo, Alejandro; Ortega-Moñux, Alejandro; Pereira-Martín, Daniel; Molina-Fernández, Íñigo; Halir, Robert; Cheben, Pavel; Soler Penadés, Jordi; Nedeljkovic, Milos; Mashanovich, Goran Z.; Wanguemert-Pérez, Juan Gonzalo[et al.] (Optica Publishing Group, 2019-08-05)
Recent developments of photonic integrated circuits for the mid-infrared band has opened up a new field of attractive applications for group IV photonics. Grating couplers, formed as diffractive structures on the chip ... -
Diagnosis Based on Genetic Fuzzy Algorithms for LTE Self-Healing.
Jatib Khatib, Emil; Barco-Moreno, Raquel; Gómez-Andrades, Ana; Serrano, Inmaculada (IEEE, 2015)
Self-organizing network (SON) mechanisms reduce operational expenditure in cellular networks while enhancing the offered quality of service. Within a SON, self-healing aims to autonomously solve problems in the radio access ... -
Discriminative Sparse Features for Alzheimer’s Disease Diagnosis using multimodal image data.
Ortiz-García, Andrés; Lozano Cuadra, Federico; Górriz-Sáez, Juan Manuel; Ramírez-Aguilar, Francisco 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 ... -
Dual-Band Polarization-Independent Subwavelength Grating Coupler for Wavelength Demultiplexing.
Hao, Tianyi; Sánchez-Postigo, Alejandro; Cheben, Pavel; Ortega-Moñux, Alejandro; Ye, Winnie N. (IEEE, 2020-08-06)
Surface grating couplers are diffractive periodic structures that enable efficient coupling of light between optical fibers and planar waveguides. Conventional grating couplers have polarization specific and limited ... -
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach.
Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Luque-Vilaseca, Juan Luis; Giménez-de-la-Peña, Almudena; Morales-Ortega, Roberto; Ortega, Julio[et al.] (World Scientific, 2020-06-04)
Diagnosis of learning difficulties is a challenging goal. There are huge number of factors involved in the evaluation procedure that present high variance among the population with the same difficulty. Diagnosis is usually ... -
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 ...