Listar IC - Artículos por fecha de publicación
Mostrando ítems 21-40 de 103
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Label Aided Deep Ranking for the Automatic Diagnosis of Parkinsonian Syndromes.
(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.
(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
(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 ... -
Reconfigurability mechanisms with scanning rate control for omega-bianisotropic Huygens’ metasurface leaky-wave antennas
(IEEE, 2019)In this paper, different reconfigurability mechanisms are proposed to scan the pointing direction at a fixed frequency of recently-proposed leaky-wave antennas based on omega-bianisotropic Huygens' metasurfaces. The ... -
Granger Causality-based Information Fusion Applied to Electrical Measurements from Power Transformers.
(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
(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 ... -
Big Data Analytics for Automated QoE Management in Mobile Networks
(IEEE, 2019-08-01)Over the last years, there has been a significant increase in the number of services in mobile networks. This trend has forced operators to change their network management processes to ensure adequate user QoE, instead of ... -
A Data-Driven Traffic Steering Algorithm for Optimizing User Experience in Multi-Tier LTE Networks
(IEEE, 2019-10-01)Multi-tier cellular networks are a cost-effective solution for capacity enhancement in urban scenarios. In these networks, effective mobility strategies are required to assign users to the most adequate layer. In this ... -
An Extensive Validation of a SIR Epidemic Model to Study the Propagation of Jamming Attacks against IoT Wireless Networks.
(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 wideband equivalent circuit for stripline-fed cavity-backed slot radiating elements
(IEEE, 2019-11)An equivalent circuit for stripline-fed cavity-backed slot radiating elements is proposed. The proposed equivalent circuit consist of a transmission line model for the slot mode, a slot end-effect which includes the ... -
A QoE-Driven Traffic Steering Algorithm for LTE Networks
(IEEE, 2019-11-01)Dueto the diversity of mobile services and raising user expectations, mobile network management has changed its focus from Quality of Service (QoS) to Quality of Experience (QoE). As a consequence, classical network ... -
A data-driven scheduler model for QoE assessment in a LTE radio network planning tool
(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 ... -
Assessing Physical Activity and Functional Fitness Level Using Convolutional Neural Networks.
(Elsevier, 2019-12-01)Older adults are related to a reduction in physical functionality, as a result of a musculoskeletal system degeneration. In that way, physical exercise has been stated as a suitable intervention to prevent such health ... -
Online Anomaly Detection System for Mobile Networks
(MDPI, 2020)The arrival of the Fifth-Generation (5G) standard has further accelerated the need for operators to improve the network capacity. With this purpose, mobile network topologies with smaller cells are being currently deployed ... -
Studying the Manifold Structure of Alzheimer’s Disease: A Deep Learning Approach Using Convolutional Autoencoders
(IEEE, 2020-01-01)Many classical machine learning techniques have been used to explore Alzheimer’s Disease, evolving from image decomposition techniques such as Principal Component Analysis towards higher-complexity, non-linear decomposition ... -
Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning.
(Elsevier, 2020-01-07)Despite subjects with Dominantly-Inherited Alzheimer’s Disease (DIAD) represent less than 1% of all Alzheimer’s Disease (AD) cases, the Dominantly Inherited Alzheimer Network (DIAN) initiative constitutes a strong impact ... -
Automatic Extraction of Measurement-Based Large-Signal FET Models by Nonlinear Function Sampling.
(IEEE, 2020-03-27)A new method is proposed for the accurate experimental characterization and fully automated extraction of compact nonlinear models for Field-Effect Transistors (FETs). The approach, which leads to a charge-conservative ... -
Automatic alarm prioritization by data mining for fault management in cellular networks.
(Elsevier, 2020-05-30)Network management systems play an important role to deal with the large size and complexity of current cellular networks. Thus, operators and vendors focus much of their efforts on developing new techniques and tools for ... -
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach.
(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 ... -
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson’s Disease.
(World Scientific, 2020-08-12)Finding new biomarkers to model Parkinson’s Disease (PD) is a challenge not only to help discerning between Healthy Control (HC) subjects and patients with potential PD, but also as a way to measure quantitatively the loss ...